41 minute read

AI ML Resources from My Diary

AI ML Resources from My Diary

This is my personal diary which contains resources, which I know, learned or people have told me to experiment with. I started writing this diary in Mar’ 2019. This diary is related to my work/learning in data science, AI, ML, NLP, DL, GNN, GAN, Statistics, etc. A few links related to Software Development, People Management, Project Management are also kept in this diary. The resources here are python/R library link, blog articles, YouTube video links, article links, AI products links, architecture, images etc. The Table of Content and Content of this diary is not any specific order. Whatever I was/am getting I keep adding into this, mostly towards the end but not always.

This is a 390 page personal learning diary and it contains approx 1000 resources. List of the resources available in this file are mentioned below. This diary is written between Mar-19 to Dec-22.

Download Link to this Diary

This is a 144 page personal learning diary and it contains approx 329 resources. List of the resources available in this file are mentioned below. This diary is written between Dec-22 to Dec-23.

Download Link to this Diary

Data Science Notes/Screenshot

Henrik Ibsen famously coined the phrase ‘A picture is worth a thousand words,’ a sentiment that rings particularly true in the realm of learning, especially within the dynamic field of data science. Throughout my learning journey, I’ve diligently amassed a collection of data science, AI, ML, and MLOps-related visuals from diverse sources such as presentations, books, and YouTube channels. While some of these images are copyrighted, caution is advised when utilizing them; it’s advisable to refrain from direct copying. If any particular image catches your interest, consider reaching out to the original author for permission. Tools like Google Image or Google Lens can assist in identifying and acknowledging the image’s copyright holders. As of December ‘23, my Dropbox holds an extensive library of over 1100+ images, continually updated. During moments of leisure when you prefer visual learning through flowcharts, images, and the exploration of shapes and colors, feel free to explore this Dropbox link

AI Diary 1

Table of Contents

  1. ITU-AI-ML-in-5g-challenge / GNN Challenge
  2. Graph Neural Networks - a perspective from the ground up
  3. sebastianraschka DS courses
  4. github: Pycaret
  5. TF GNN
  6. Mainfold Learning
  7. Summary of Data Science
  8. Dr Repair - Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
  9. Interesting way to analyze a time series
  10. Scrum vs Kanban
  11. Leadership Qualities
  12. Graph for Timeseries
  13. Merlion
  14. GNN based Movie Trailer Generator
  15. Notation — ML Glossary documentation
  16. How to Improve
  17. Machine Learning & Data Science Competitions - ML Contests
  18. The evolution of the Employee
  19. Yann LeCun’s Deep Learning Course at CDS – NYU Center for Data Science
  20. Taxonomy of GNN Learning Methods
  21. GNN for Novice
  22. Some free alternatives software to MATLAB
  23. 500 Page Book on Quantum Computing
  24. 2022 Top 22 Tech Trends
  25. Acing Data Science Interview Questions
  26. Garbage Features
  27. SQL Training
  28. Process Mining
  29. Best Graph Neural Network architectures: GCN, GAT, MPNN and more \ AI Summer
  30. Free AI, DL, Maths, Python Resources MarkTechPost.com
  31. Merlion Architecture
  32. 70 Free Online Courses for Data Science to Advance Your Skills in 2022
  33. Machine Learning Simplified
  34. The most innovative AI algorithms released in 2022 (till date)
  35. Transformer Takeover in AI
  36. AIOPS
  37. DS Books
  38. Techprofree books
  39. Autoencoders-tutorial
  40. GNN
  41. github: 500-AI-Machine-learning-Deep-learning-Computer-vision
  42. The NLP Index: 3,000+ code repos
  43. github: Nyandwi/machine_learning_complete
  44. Leadership Lessons from APJ Kalam
  45. Github: Python framework to explore, label, monitor data nlp projects
  46. Maths for Data Science by IITM
  47. Datarobot
  48. github: SeldonIO
  49. Internshala
  50. konfhub
  51. Machine Learning Projects in Python
  52. github: Merlion
  53. github: aws-samples ml-inference-using aws lambda
  54. Traditional ML vs Transfer Learning
  55. How To Use The 4 Types Of Intelligence To Make Better Decisions
  56. Microsoft SDE Sheet - Top 35 Most Frequently asked
  57. Global AI Hub – Build your future
  58. Keras community built 100 concise and clear code examples
  59. Intro to machine learning compilers and optimizers
  60. Approaches to process and classify images in a new way.
  61. Inductive link prediction in knowledge graphs
  62. TensorFlow tutorials
  63. DevOps - Azure Board Training
  64. Intelligent Graph
  65. Great NLP, Text Mining Talks post
  66. Google Cloud Tools
  67. Spark NLP \ State of the Art Natural Language Processing \ John Snow Labs
  68. Channels to Learn Python
  69. What is Neural Network? How does it understand things?
  70. World’s Leading AI and Technology Publication
  71. Skills, Roles and Responsibilities in Data Science
  72. Complexity Explorer
  73. Network Science by Albert-László Barabási
  74. Graph Neural Networks: Models and Applications
  75. NLP in Notebooks Competition
  76. GNN TimeSeries Intelligence
  77. Tuning Neural Networks Part I: normalize your data
  78. Multi-paragraph segmentation
  79. Machine Learning 2020 summary: 84 interesting papers/articles
  80. GitHub Announces GitHub Open-Source Grants Recipients In India
  81. Watch “Python Tutorial For Beginners In Hindi (With Notes) 🔥” on YouTube
  82. Quantum Computing Course
  83. Optimum: The Optimization Toolkit for Transformers at Scale
  84. CPU, GPU, TPU, FPGA
  85. Textless NLP: Generating expressive speech from raw audio
  86. Textless NLP: Generating expressive speech from raw audio
  87. How Data-Centric Platforms Solve the Biggest Challenges for MLOps - The Databricks Blog
  88. Best Resources to Learn Natural Language Processing in 2021 - KDnuggets
  89. Index of Best AI/Machine Learning Resources \ Hacker Noon
  90. Qwiklabs - Hands-On Cloud Training
  91. Introduction to Graph Neural Network (GNN) \ Analytics Steps
  92. Watch “Auto Tensorflow - End to End AutooML solution - Exclusive Launch” on YouTube
  93. Graph Database, GraphQL and Machine Learning for Carbohydrate-Active Enzymes
  94. Pydantic experiment
  95. Graph ML
  96. Reinforcement Learning Lecture Series 2021 \ DeepMind
  97. Advances in Cybernetics, Cognition, and Machine Learning for Communication … - Google Books
  98. Visualization — Effective Python for Data Scientists
  99. The NLP Index
  100. Github: Anomaly Detection Open source
  101. Patsy: Build Features with Arbitrary Python Code - Data Science Simplified
  102. Introducing OpenSearch \ AWS Open Source Blog
  103. End-to-End Differentiable Molecular Mechanics Force Field Construction
  104. Learning resources \ DeepMind
  105. Understanding LSTM Networks – colah’s blog
  106. Machine Learning Models as Micro Services in Docker
  107. Unsupervised Learning Techniques
  108. A 10 free ‘Springer’ Books on the Topics of AI, Ethics, Machine Learning, Robotics, Cybersecurity, Philosophy, Science & Innovation
  109. Deep Learning on Graphs: Past, Present, And Future :
  110. Watch “Ask the Expert: VS Code: Development in the Open” on YouTube
  111. Analytics Tools
  112. Online Data Science Course from Univ
  113. ML Powered Apps vs Traditional Programming
  114. Task:Introduction to Deep Learning
  115. How Pokémon GO scales to millions of requests? \ Google Cloud Blog
  116. A programmers guide to data mining
  117. Pokeman go architecture
  118. GNN summary paper
  119. Regression Cheatsheet
  120. Github: Data deduplication tool
  121. Kappa for model evaluation
  122. Data science resources
  123. IIT Bombay Invites Applications from Students for Free Online Course on Quantum Mechanics
  124. ViT
  125. How Storytelling Affects the Brain
  126. Navigating the Dozens of Different Strategy Options
  127. Pytorch
  128. GNN
  129. AutoML
  130. Deep Graph Neural Networks
  131. Meta’s Neural Prophet
  132. Summary of HTTP Errors
  133. mlcontents.com
  134. What is R used for?
  135. Intermittent Demand Forecasting with Deep Renewal Processes – Deep & Shallow
  136. Github: GNN Challenge 2021
  137. Holographic Principles
  138. GNN Notation
  139. AI Consulting: In-depth Guide with Top AI Consulting Firms
  140. 4 Keys to Effective—and Honest—Data Visualizations
  141. SVM
  142. ML For Managers
  143. How to Talk to Your Data Scientist \ HuffPost Impact
  144. Simplex Method with NumPy and Matrix Operations
  145. Optimization problem
  146. Difference between Soft Computing and Hard Computing
  147. A Global Breakdown of Greenhouse Gas Emissions by Sector
  148. Turing Bletchley: A Universal Image Language Representation model by Microsoft - Microsoft Research
  149. Timeseries Library
  150. 10 Mysterious And Rare Artifacts You Didn’t Know Before - TopTenScience
  151. Categorical Encoding Cheat Sheet
  152. Quantum Computing
  153. NeurlPS 2021—12 papers You Shouldn’t miss
  154. Architecture of Modules in Merlion
  155. poetry python dependency and package manager
  156. The Technique of English Word Syllable Division in Speech …
  157. Tutorial on reading large datasets \ Kaggle
  158. NVIDIA NLP in Production
  159. Glassdoor Data Science Career Path
  160. Google Using Deep Learning to Design Chips
  161. MLContests.com
  162. 280+ Machine Learning Projects with Python
  163. Machine learning engineer R&R
  164. CNN and Transformer
  165. AI, ML Tools
  166. SBI Innovate for Bank 2022 Hackathon Technology Partner Microsoft \ TechGig
  167. Intro to Intel’s Distribution of OpenVino Toolkit
  168. A Practical Strategy to Share the Code among Different Notebooks \ by Angelica Lo Duca \ Towards AI
  169. Chart type selection
  170. Monitoring NLP Pipelines
  171. The Best NLP with Deep Learning Course is Free
  172. Yellowbrick Python Library for ML
  173. GoogleNews pip
  174. Spring 2021 Schedule - Full Stack Deep Learning
  175. Book Recommender System
  176. Airflow
  177. Mathematics of Big Data and Machine Learning
  178. Data integrity issues
  179. MLOPS with AWS 9 Weeks Course
  180. Streamlit Tutorials Playlist
  181. Online AI projects
  182. 3D Vision Summer School
  183. 40 Open-Source Audio Datasets for ML
  184. Intro to Intel’s OpenAPI
  185. HackerNoon
  186. ML Tools
  187. Data Science Competitions
  188. PyScript - JavaScript’s sweet cousin.
  189. GraphWorld: A Methodology For Analyzing The Performance Of GNN Architectures
  190. github: connorferster
  191. SQL Joins
  192. Handling Missing Data
  193. ML Pipeline
  194. Generative Process - Overview of Neural Testbed
  195. github: SeldoneO
  196. Tracking Progress in Natural Language Processing \ NLP-progress
  197. Neural Voice Camouflage
  198. 9 Free Cloud Storage
  199. Generative Adversarial Networks \ Generative Models
  200. Watch “Markov Chains Clearly Explained! Part - 1” on YouTube
  201. Stastistical tests
  202. Watch “How to write a report using LATEX” on YouTube
  203. AIM Survey - State of AI in Indian Enterprises
  204. Data-Centric AI Competition Submission Guide
  205. Understanding the role of individual units in a deep neural network \ PNAS
  206. TPOT
  207. Alexnet Architecture \ Introduction to Architecture of Alexnet
  208. Watch “Introduction to AWS Services” on YouTube
  209. Watch “Microservices Interview questions \ Interview Preparation” on YouTube
  210. Watch “12 Factors App \ MicroServices Architecture \ Cloud Native Best Practices” on YouTube
  211. Watch “Microservices Design Patterns \ Microservices Architecture Patterns \ Edureka” on YouTube
  212. Watch “Microservices vs API \ Differences Between Microservice and API \ Edureka” on YouTube
  213. Watch “Build a custom ML model with Vertex AI” on YouTube
  214. [Infographics] Data Science Skills Roadmap: Skills and Certifications to Have in 2021 \ SDS Club
  215. Autoencoders in Python \ How to use Autoencoders in Python
  216. How to Calculate Feature Importance With Python
  217. MLOps - Machine Learning Operations
  218. Ten Highest Paying Companies for Data Scientists in 2021
  219. MLOps Course \ MLOps Online Training, India - 360DigiTMG
  220. Continuous Integration and Deployment for Machine Learning
  221. Why AI is a game-changer for renewable energy \ EY - US
  222. Worldscholarship Forum
  223. Bird Song Classification using Siamese Networks and Dilated Convolutions
  224. Matplotlib vs. Plotly: Let’s Decide Once and for All
  225. Dispatch from Bangalore – TechCrunch
  226. RoBERTa building for Italian lang
  227. PyTorch 1.9 - Towards Distributed Training and Scientific Computing
  228. Train New BERT Model on Any Language
  229. How to Create Report-Ready Plots in Python
  230. OpenAI Launches GitHub Copilot: AI Focused On Code Generation. Should We Be Worried Now?
  231. What OpenAI and GitHub’s ‘AI pair programmer’ means for the software industry
  232. Importing/Reading Excel data into R using RStudio (readxl) \ R Tutorial 1.5b \ MarinStatsLectures
  233. How I passed the AWS Solutions Architect Associate Exam in 1 month 2021
  234. Hindawi Journals
  235. Is it possible to use multithreading inside of Flask?
  236. Introduction to Deep Learning
  237. 100+ Free Machine Learning Books
  238. Free online book - Machine Learning from Scratch
  239. Skill Basics
  240. Operating System For Machine Learning & AI
  241. From Pandas to PySpark with Koalas
  242. Free Data Science, Machine Learning
  243. NET Architecture Guides
  244. Getting Started with GPT-3 in Power Platform
  245. Netflix Recommendations
  246. Techlearn
  247. Data Ingestion with TensorFlow eXtended (TFX)
  248. The ExampleGen TFX Pipeline Component
  249. The School of AI
  250. Github: GREMLIN: An Apache TinkerPop Tutorial
  251. Quantum Machine Learning
  252. Quantum Machine Learning MOOC
  253. Quantum Mechanics and Quantum Computation
  254. Quantum Computation
  255. Qiskit
  256. TensorFlow Quantum
  257. CirqBasics.ipynb - Colaboratory
  258. QpiAI - AI and Quantum Simplified
  259. MadewithML
  260. Kick Start - Google’s Coding Competitions
  261. Online Python Challenges - Python Principles
  262. Gaining access to the best machine-learning methods - O’Reilly Radar
  263. Data Science Blogathon - 11
  264. The Machine & Deep Learning Compendium
  265. Github: NLP Resources dlg4nlp
  266. Machine Learning Life Cycle 2.0 - Mind Map
  267. Handbook on Data Protection and Privacy
  268. 6 low-code internal tool builders in 2021
  269. AI books
  270. Resources to learn DS
  271. Parallel Processing and Pandas
  272. Julia vs. Python
  273. Introduction to Computational Thinking
  274. A fun way to start learning Julia.
  275. Data Sceince Tools
  276. 5 Most Popular Datasets
  277. Drug Discovery Using Artificial Intelligence
  278. DLG4NLP tutorial
  279. Deep Reinforcement Learning by Pieter Abbeel
  280. 6 Highest Paying Data Science Certifications You Should Know
  281. The Great Hack \ Netflix Official Site
  282. Probability for Data Scientist
  283. Quantum Computing, Artificial Intelligence, & Machine Learning for Drug Discovery
  284. Gaussian processes (1/3) - From scratch
  285. GRAPH4NLP
  286. Computer Vision Skills
  287. The Data Science Interview Study Guide - KDnuggets
  288. GM VAE for NLP
  289. NPTEL Courses on Computer Science and Engineering
  290. VAE
  291. AWS vs. Azure vs. Google Cloud - Price Comparision
  292. Data Analytics and Visualization Made Easy - Juice Analytics
  293. JupyterLab vs DataSpell
  294. Top 15 YouTube Channels For Deep Learning
  295. GitHub : TheAlgorithms/Python
  296. Github: Label Studio Spacy
  297. Free Data Science Courses - 11-Months Free IBM Certification Courses
  298. Data Science Links
  299. Free AI Resources - MarkTechPost
  300. General and Scalable Parallelization for Neural Networks
  301. Why Machine Learning Is Changing The Advertising Industry
  302. Marketers: Here’s Your Statistical Models Cheat Sheet
  303. The Current Applications Of Artificial Intelligence In Mobile Advertising
  304. Statistical Inference
  305. CNN + Jraph in Colab
  306. DAIR.ai YouTube Courses
  307. Graph Neural Networks in Colab
  308. Github: Must Practice this GNN notebook
  309. Interview-question-data-science
  310. How to Become Better Listener
  311. Imbalance Training Data
  312. Introduction to Probability for Data Science
  313. Data retrieval with SQL, data manipulation MIT Software tool class
  314. 7 Ways how Data Scientists use Statistics
  315. Google Data Science Interview Questions and Answers
  316. Best Free Machine Learning Books
  317. Machine Learning Algorithms Cheatsheet
  318. Tools for Data sourcing, data wrangling, data application
  319. Great Leaders Are Confident, Connected, Committed, and Courageous
  320. 25 Github Repositories Every Python Developer Should Know
  321. 11 Automatic Machine Learning Frameworks in 2022
  322. Data Science Roles, Responsibilties, Tools
  323. Debugging in Python
  324. TensorFlow Introduces TensorFlow Graph Neural Networks (TF-GNNs)
  325. India has wasted the potential of its large young population
  326. The Power of Visualization in Data Science
  327. Text Generation from Knowledge Graphs
  328. Evidently AI - Open-Source Machine Learning Monitoring
  329. ShaplyAI
  330. BentoML
  331. MLOps Toys \ A Curated List of Machine Learning Projects
  332. Github: AI Fairness 360
  333. Analytics for LinkedIn
  334. Data Visualization Tools
  335. Graph ML 2022
  336. Graph Neural Networks through the lens of Differential Geometry and Algebraic Topology
  337. Data universe
  338. 15 Graphs You Need to See to Understand AI in 2021
  339. 2021’s Top Stories About AI - IEEE Spectrum
  340. The Pattern of Success in the Digital Leadership World
  341. Yann LeCun’s Deep Learning Course at CDS
  342. The best graph tool
  343. Github: 365 days computer vision
  344. Pytorch is a Deep Learning framework
  345. Rising Against the Diminisher
  346. Category - Programming Books
  347. Designing Event-Driven Systems
  348. Github: Seldon Core: Blazing Fast, Industry-Ready ML
  349. Databricks
  350. Deepfake using conv vision transformer
  351. Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures
  352. GNN Intro
  353. 50 Best Data Science Project Ideas -2022
  354. 60 Best Free Online Courses for Machine Learning & AI in 2022
  355. Data Lifecycle
  356. Github: HiPlot - High dimensional Interactive Plotting
  357. 6.10. Visualization — Effective Python for Data Scientists
  358. Data Science Practices & Tools
  359. Reproducibility in ML
  360. Week 4 - Reproducibility in Machine Learning: From Theory to Practice - Koustuv Sinha
  361. Designing, Visualizing, and Understanding Deep Neural Networks
  362. YOLO v4 explained in full detail
  363. Phases OF Dev-Ops
  364. ML TOOLS & TECHNOLOGIES
  365. PyCaret with FastAPI
  366. 18 Data Science Podcasts
  367. Effective Testing for Machine Learning (Part I)
  368. FREE DS MASTER CLASS SERIES (PYTHON)
  369. Simple Explanation of LSTM \ Deep Learning Tutorial 36 (Tensorflow, Keras & Python)
  370. Covid19 forecasting
  371. COVID-19: Face Mask Detection using TensorFlow and OpenCV
  372. 14 Python Lib for Cyber Security
  373. Roles in Data Science Project
  374. Computer vision datasets: VisualData Discovery
  375. DatAndroid Dataset
  376. Pandas online learning
  377. MongoDB Fundamentals Course
  378. GroundedML — ICLR 2022
  379. PyTorch vs. TensorFlow: Which Framework Is Best for Your Deep Learning Project?
  380. MLOps \ Bring DevOps To Data Science With MLOps
  381. Data science project life cycle
  382. Devops life cycle
  383. Continuous integration
  384. 3 ways to use data, analytics, and machine learning in test automation
  385. Automated Functional Testing - Software Testing Tool
  386. Using sub graph for more expressive GNN
  387. HOW AI & MACHINE LEARNING IS CHANGING TEST AUTOMATION
  388. NanoEdge AI Studio
  389. How I Built an ML Algorithm to Improve Test Automation
  390. AI and ML in Testing: X Tips To Make Test Automation Effective
  391. KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
  392. TOP 10 GitHub Repositories for Data Science
  393. Real-time machine learning: challenges and solutions
  394. How to Read ML Papers Easily
  395. Rulebased chatbot in Python
  396. Forecasting: Principles and Practice
  397. Chapter 10 Forecasting hierarchical or grouped time series
  398. Will we see GPT-3 moment for computer vision?
  399. Tiny ML, Quantum ML, Auto ML, MLOps, Fusll Stack DL
  400. List of Unicorns Startups in India \ Top Unicorns in India
  401. SQL vs NoSQL Tools for Cloud
  402. Free AI Introductory Course For All
  403. Stanford CS224U Natural Language Understanding Spring 2021
  404. Grouped multivariate and functional time series forecasting:
  405. Cloud security assessment checklist
  406. Python Cheat Sheet
  407. Neural Network Types
  408. Data Science Interview Questions
  409. Ace the Data Science Interview book
  410. Cracking-the-data-science-interview
  411. Relationship Extraction for Knowledge Graph Creation From Biomedical Literature
  412. DS Community
  413. Metaverse – A New Era Emerging
  414. Tensorflow data validation
  415. Page rank Algo
  416. Github: Auto Tensorflow
  417. IIT Madras Offers Free Online 12- Week Certificate Course on AI
  418. Top 10 Applications of Machine Learning in Cybersecurity
  419. How to handle Emoji ‘😄’ & Emoticon ‘ :-) ’ in text preprocessing?
  420. Text Detection and Extraction using OpenCV and OCR
  421. Devanagari Handwritten Character Dataset Data Set
  422. Hindi-OCR
  423. Stack exchange all rooms
  424. How to improve Hindi text extraction?
  425. What is Categorical Data \ Categorical Data Encoding Methods
  426. DART
  427. TimeSeries Forecasting models
  428. Statistical Distances
  429. AI Usecases
  430. Architecture-to-operationalize-ML
  431. neptune.ai
  432. DeepMind shares a list of free AI & ML resources
  433. AI course
  434. TOC of AI course
  435. Data Science Conceptual Map
  436. Layers in NLP
  437. Regression Analysis Estimation and Error Function
  438. NLI for DB
  439. Transformer models - Hugging Face Course
  440. Learning From Data - Online Course (MOOC)
  441. Find Leadership Courses
  442. Wrapper to load dataset from remote PyTorch dataset
  443. Advanced Certification in Data Science and AI by IIT Madras
  444. How well do explanation methods for machine-learning models work?
  445. Confusion Matrix for 2+ Classes
  446. ML Algo Cheat Sheet
  447. Machine Learning Algorithms Free course 8hours
  448. AI Technologies in Construction
  449. Github: Data drift what next
  450. Cross Validation - Hold Out, K-Fold, LOOCV
  451. Data Science Project Lifecycle
  452. Data Science Tools, Algorithms, Pipeline
  453. Graph neural networks (GNNs)
  454. GNN
  455. Clustering
  456. How to master Streamlit for data science
  457. [ML News] ConvNeXt: Convolutions return
  458. Nature of Research and Questions
  459. Tips for Sailing Data Science job
  460. 7 Interactive Bioinformatics Plots made in Python and R
  461. Installing Python Packages from a Jupyter Notebook
  462. Neural Networks on Graph
  463. Live code Visualization notebook
  464. What Is a Bitcoin ATM?
  465. A New Reinforcement Learning Based Method - Dead-end-Discovery
  466. Next Level of Data Visualization in Python
  467. 7 Plotly Graphs in 3D: Stocks, Cats, and Lakes
  468. Github: Interactive graph in Python
  469. Modern Deep Learning Techniques Applied to Natural Language Processing by Authors
  470. NLP with Deep Learning Video playlist Standford Online
  471. Michigan University Fall 2020 Schedule
  472. Deep Learning for Video, Master in Computer Vision Barcelona 2019
  473. Computer Vision course at CTU in Prague
  474. Github: DS Cheat sheets
  475. ML Cheatsheet
  476. IIT Khadakpur Sanskrit NLP
  477. Making Sanskrit Accessible through AI-based Text Processing
  478. Fundamentals of NLP research in Sanskrit
  479. Is Sanskrit the most suitable language for natural language processing?
  480. Sanskrit github
  481. 10 Data Analysis Methods
  482. AI NLP Timeline and the Transformer Family
  483. Introduction by Example - pytorch_geometric 2.0.4
  484. Python Notebook to Webapp
  485. 18 Feb Trending Github
  486. Real time machine-learning challenges and solutions
  487. How Machine Learning Can Help Test Automation
  488. Test Automation in the World of AI & ML
  489. Maths for neuroscience
  490. HyperSense AI Studio \ No Code Platform \ AutoML
  491. Top 20 Websites for Data Science and ML
  492. Websites for competitive programming
  493. Raspberry pi
  494. Library for Auto labelling
  495. Github: Using AWS Lamda and EFS
  496. Resources and tools
  497. Paying the hidden technical debt
  498. Hidden Technical Debt
  499. Technical Debt in Machine Learning
  500. Hidden technical debt in machine learning systems
  501. Best Docket Cheatsheets
  502. How to Scale AI in Your Organization?
  503. CVPR 2022 paper Lifelong Graph Paper
  504. DataOps Tools
  505. NLP Repo
  506. 100+ data science Cheatsheet
  507. Ignnition enabled fast prototyping of GNN
  508. Deep Learning with PyTorch, Full course
  509. List of Language Models
  510. AI Books Cover Pages
  511. Solution approach for ai problems
  512. Algorithms and their applications
  513. What is Outlier \ PyOD For Outlier Detection in Python
  514. Free ML tools from Microsoft
  515. How to Easily Automate Emails with Python
  516. Publicly Real-World Datasets To Evaluate Stream Learning Algorithms
  517. Companies hiring data scientist
  518. Google drive DS material
  519. Microsoft Is Going Global With Speech Enablement
  520. A topic-centric list of HQ open datasets
  521. Top Explainable AI (XAI) Python Frameworks in 2022
  522. MLOPs with AWS Cloud
  523. The world of machine learning algorithms
  524. Think Big Data
  525. 9 Reasons - Why Artificial Intelligence is So Essential Right Now?
  526. Data Science Lifecycle
  527. ML Deployment Tools
  528. Machine Learning
  529. New Generation Technologies
  530. 10 free websites To learn Web3 and Blockchain development
  531. Blockchain Technologies
  532. Web3 Stack
  533. Machine Learning with Signal Processing Techniques
  534. Nasa’s SpaceML Tool
  535. SpaceML Taps Satellite Images to Help Model Wildfire Risks
  536. The Best Open Source Chatbot Platforms in 2022
  537. 13 Best AI Chatbot Development Framework & Platforms
  538. 10 Best Chatbot Development Frameworks to Build Powerful Bots
  539. Learning Representations of Geographic Locations From Unlabeled GPS Trajectories
  540. Deep Learning Streaming Platform
  541. Fake data Library
  542. Top Explainable AI Frameworks
  543. The Top 5 AI/Machine Learning blogs
  544. Industry application of NLP
  545. Airflow vs Luigi vs Argo vs Kubeflow vs MLFlow
  546. ML Platforms: Dataiku vs. Alteryx vs. Sagemaker vs. Datarobot
  547. Machine Learning Applied to Bigdata
  548. Top Responsible AI (Artificial Intelligence) Tools in 2022
  549. Machine Learning Zoomcamp
  550. 90+ Data Science Projects You Can Try with Python
  551. How to implement data-centric AI in NLP
  552. Issue #190 - THE ML ENGINEER
  553. Machine Learning in Alteryx with PyCaret
  554. Machine Learning in Tableau with PyCaret
  555. Machine Learning for Cyber Security
  556. Google AI Introduces LocoProp
  557. Distributed Training in TensorFlow with AI Platform & Docker
  558. Serve hundreds to thousands of ML models : Architectures from industry
  559. An Exhaustive Read & Watch List for AI
  560. ML Concepts
  561. Reco: Introduction to Probability for Data Science
  562. Supervised Clustering: How to Use SHAP Values for Better Cluster Analysis
  563. Github: 800 free #ComputerScience classes
  564. Mathematics of Big Data and Machine Learning @MIT
  565. Linear Algebra @MIT
  566. CS109A Data Science @Harvard
  567. NLP with Deep Learning by Stanford
  568. Google Vizier: A Service for Black-Box Optimization
  569. Tinker With a Neural Network in Browser
  570. Hand Gesture Recognition - Pretrained
  571. Blockchain Tech
  572. Distributed GNN training
  573. Serverless computing for GNN
  574. Graph Analysis to Fight Fraud
  575. Transfer Learning Colab Note
  576. Introduction to Vertex AI \ Google Cloud
  577. Continuous Integration for Machine Learning: Testing ML Models
  578. Computer Vision Nanodegree​
  579. Sign up: Kaggle x Scale AI offer
  580. Seminal Work in Data Science
  581. Metaverse beyond the hype
  582. Vertex AI: Qwik Start \ Google Cloud Skills Boost
  583. How Azure Machine Learning works (v2) - Azure Machine Learning \ Microsoft Docs
  584. Github probml/pml2-book
  585. Probabilistic ML
  586. Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
  587. Hypothesis Testing
  588. Architecture
  589. The Basics - Holochain Docs
  590. Understanding AlphaZero Neural Network’s SuperHuman Chess Ability
  591. Flink Vs. Spark: Difference Between Flink and Spark
  592. Design Patterns
  593. Web2 vs web3 platforms
  594. 100+ gpt3 projects
  595. Python Design Patterns
  596. Tutorial of fundamental remote sensing and GIS methodologies using open source software in python
  597. Mining Trends in Data Science Blog Headlines
  598. Best softwares for #latex like data visualisation programs
  599. Knowledge Graph-based Perspective on Named Entity Disambiguation
  600. Google Cloud Anthos Series - 1: Introduction to Anthos
  601. Securing apps for Googlers using Anthos Service Mesh
  602. Anthos supports NVIDIA GPUs
  603. Animated Chart Presentation in Jupyter Notebook.
  604. Word Error Rate in STT
  605. Quality Engineering Microservices
  606. Automate Machine Learning using Databricks AutoML
  607. AI for Beginners
  608. Bigdata architecture
  609. Language-Vision Model To Leverage Text Medical Reports For Improved Segmentation
  610. Information Theory & Bayesian ML
  611. A generic, simple and fast implementation of Deepmind’s AlphaZero algorithm.
  612. Chart Suggestions Guide \ Tableau Public
  613. Continuous Deployment of ML Models to the Edge
  614. 100+ data structure and algorithms
  615. Microsoft Research - General-Purpose Multimodal Foundation Model BEIT-3
  616. BEiT-3 Performance on Deep Learning Tasks
  617. Data Analytics vs Data Science
  618. Machine Learning Systems versus Machine Learning Models
  619. Machine Learning Systems vs Machine Learning Models
  620. Top 8 YouTube Channels to learn Web3
  621. Learning timeseries can be tough.
  622. Pen and Paper Exercises in Machine Learning
  623. 12 Best Online Courses for Machine Learning with Python-Bestseller 2022
  624. Time Space Complexity in Machine Learning Algo
  625. Activation Functions
  626. Ace Your Data Science Interview in 6 Steps
  627. Stanford University Free Online Courses 2022
  628. Timeseries in Pycaret
  629. Checklist - training deep neural networks
  630. 5 Checks during Training of ML Models
  631. CS 229 - Supervised Learning Cheatsheet
  632. Expert Data Analyst links
  633. Learn Go
  634. The AWS AI/ML Stack
  635. Challau Metaverse
  636. Data Quality Attributes
  637. Which Visualization
  638. How to Become a Data Analyst Intern - Infographic
  639. Introduction to Causal Inference
  640. AI Bank of Future
  641. Atomic Habits
  642. The Role of an AI Architect
  643. “An Analysis of Deep Learning Neural Networks”
  644. Comparing Model Evaluation Techniques
  645. 5 open-source frameworks for implementing GANs
  646. PregEx : Write Human-Readable Regular Expressions in Python
  647. FREE Node.js course
  648. Seeing Theory : Statistics more accessible through interactive visualizations
  649. Use MLNET to build custom machine learning solutions in dotnet
  650. Conversational AI and Chatbot
  651. Different Charts
  652. 10 Machine Learning Algorithms In Python [A Beginners Guide]
  653. Gephi : Visualization and Exploration
  654. Transformers are Graph Neural Networks
  655. goodrahstar/draw-neural-network:
  656. Quick, Draw!
  657. Draw Neural Networks in Latex
  658. Statistical Tests
  659. Graph ordering attention networks
  660. Bitcoin Prediction - FB-Prophet outperforms ARIMAX, XGBOOST & LSTM
  661. introduction chapter on Geometric Deep Learning
  662. Graph Transformer
  663. Overview of GTransformer
  664. Roadmap to Web3
  665. Ace The SQL Interview
  666. Summer school on Statistical Physics & Machine learning
  667. Reproducible Deep Learning
  668. MachineLearning & DeepLearning Concepts Playlist
  669. Docker Integration with Other Softwares
  670. Deck of slides on GNNs: foundations, challenges, and explainability
  671. Structure-Aware Transformer for Graph Representation Learning
  672. Machine Learning and Deep Learning frameworks and libraries for large-scale data mining
  673. How Graph Neural Networks (GNN) work
  674. What’s New in v0.6.2: Continuous Deployment and a fresh CLI
  675. Primers on training on neural network
  676. 8 Tips of StoryTelling
  677. Upgini : Free automated data enrichment library for machine learning
  678. Best Practices for Deploying Language Models
  679. Distributed System Fundamentals
  680. Learn web3 development by Building Projects
  681. Adapts The Pretrained Language Image Models To Video Recognition
  682. Data Analysis Video Playlists
  683. Free Backend Development & Frontend Development Hosting Platforms
  684. 6 ways to use Jupyter notebook
  685. 21 Cyber Security Search Engines
  686. What is Data Governance
  687. Skills & Knowledge of Data Management
  688. Machine learning systems design
  689. Introduction to Machine Learning Interviews Book · MLIB
  690. What is DALL-E, DALL-E2?
  691. Four major smoothing techniques
  692. b7leung/MLE-Flashcards
  693. Starting Point of Data science for various people
  694. Top Programming Languages of 2022
  695. 10 Programming Languages and their efficiency
  696. maikherbig/AIDeveloper
  697. Los Alamos Claims Quantum Machine Learning Breakthrough
  698. How Google uses NLP to better understand search queries, content
  699. Essential Charts of Data Analysis
  700. CVPR 2022 notes with focus on Medical Imaging
  701. Facebook AI Researchers Open-Source ‘LLM.int8()’
  702. Data Structure - Cheat Sheet
  703. Helpful AI tools for content writing and how to use them
  704. PaLM: Scaling Language Modeling with Pathways
  705. NLP - Explaining Joke
  706. CS388 NLP Course
  707. machine learning algorithms, data science infographics
  708. Data Science Inteview Questions and Answers Blogs - 360DigiTMG
  709. Artificial Neural Network Questions to Test Your Skills
  710. 20 Questions to practice for machine learning interviews.
  711. GAN from GNN To Correctly Predict the Coherent Orientations of Galaxies
  712. Build Machine Learning Pipeline in Python and Deploy on Cloud easily
  713. The Rise of Data Contracts
  714. Workshop on Autonomous Driving - CVPR 2022
  715. Google AI Introduces OptFormer
  716. The ML Reproducibility Challenge is back!
  717. Textualize/rich: Rich is a Python library for rich text and beautiful formatting in the terminal.
  718. 30 Projects Ideas You Can Build to Become a Blockchain & Web3 Master
  719. Masked Language Model
  720. Which Graph
  721. 40 Best Resources to Learn Natural Language Processing [FREE]- 2022
  722. ConvNetJS MNIST demo
  723. Google video QA
  724. PyTorch Data Parallel Best Practices on Google Cloud
  725. Causality for Machine Learning
  726. Foundations of Causal Inference and its impact on Machine Learning
  727. How Artificial Intelligence Is Changing The Law Industry for The Better • LegalScoops
  728. Everything you’ve ever wanted to know about machine learning
  729. Machine learning for sensors
  730. Recent machine learning research tutorial focuses on Learning Theory
  731. Top And Easy to use Open-Source Image Labelling Tools for Machine Learning Projects
  732. An organized collection of 94 articles with NLP tips
  733. Understanding AlphaZero Neural Network’s SuperHuman Chess Ability - MarkTechPost
  734. Want to learn more about Meta Learning?
  735. Video lectures, UC Irvine CS 275
  736. Towards Responsible Data Practices for Machine Learning in India: Health & Agriculture
  737. Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast
  738. Model Evaluation Metrics in Machine Learning - Nucleusbox
  739. 190 Python Projects with Source Code \ by Aman Kharwal \ Medium
  740. Dr. Rina Dechter @ UCI
  741. TorchStudio, Deep Learning Toolkit
  742. Free ML Engineering course
  743. First Principles of Computer Vision, Columbia University
  744. Are self-driving cars the future?
  745. Guide to become Data Scientist
  746. 7 Advantage of social media marketing
  747. Day 1 of 60 Days of Deep Learning with Projects Series
  748. We Automated Attribute Tagging Using Deep Learning Models.(1)
  749. 9 Distance Measures in Data Science
  750. Comparison of the Text Distance Metrics - DataScienceCentral.com
  751. Author coder and VAE
  752. Data Strategist - DataScienceCentral.com
  753. Machine Learning Perceptron Implementation
  754. HiLab-git/SSL4MIS: Semi Supervised Learning for Medical Image Segmentation
  755. How do video live streamings work
  756. Complete Guide to Data Visualization with Python
  757. SDS 603: Geospatial Data and Unconventional Routes into Data Careers
  758. 7 tools for labeling of Audio, Image, Video and Textual Data
  759. Free ML Engineering course starts on Monday!
  760. 12 Free video lectures on Deep Learning
  761. What Are The 10 Best AI Consulting Firms
  762. YOLOS
  763. Top Parallel Processing Python Frameworks Data Scientists must know in 2022
  764. Google AI Introduces a New Approach to Video-Text Learning Called Iterative Co-Tokenization
  765. Meet Sipeed’s TinyMaix
  766. AI/CV/MLOps Tools
  767. 5 famous transformer architectures
  768. Free courses to Learn Deep Learning
  769. 5 interesting #Python Projects with Source Code
  770. UnMICST: Deep learning with real augmentation for robust segmentation
  771. The First Workshop on Pre-training ICML22
  772. Machine Learning Cheatsheets
  773. Computational Linear Algebra
  774. Guided-Generative Network
  775. AlphaCode paper
  776. How Do We Design and Develop Human-Centered AI?
  777. Diplomacy: The AI Benchmark that Gets Us Closer to the Turing Test
  778. ChatGPT vs LaMDA
  779. Optimize Sales Funnel and Increase Revenue with Machine Learning
  780. Create Observable and Reproducible Notebooks with Hex
  781. Stanford Graph Learning Workshop 2022
  782. Components of Research Paper
  783. Software Design Patterns
  784. Software Design Patterns2
  785. How to Organize your Research Paper
  786. Filter data using multiple columns - Microsoft Power BI Community
  787. Edge#194: Masterful AI, the Training Platform for Automated Computer Vision
  788. ML Algorithms and Training/Prediction/Space Complexity
  789. 12 Actions to improve Data Quality
  790. Generative AI Application Landscape
  791. MIT Deep Learning 6.S191
  792. Welcome to Shapash’s documentation ! — Shapash 2.2.0 documentation
  793. Deep Learning Usecases
  794. Research Paper Flow
  795. Data Science Books
  796. MLOps for production-grade ML
  797. Westlake University Researchers Propose ‘SimVP,’
  798. Drexel University Introduces TorchFL:
  799. Optimize Sales Funnel and Increase Revenue with Machine Learning in Python
  800. Stanford Engineering Everywhere \ CS223A - Introduction to Robotics
  801. Remote job in AI/ML
  802. Algorithmic concepts \ Super Study Guide
  803. Comprehensive Guide to Zero-Shot and K-Shot Learning
  804. Learn Docker in 12 Minutes
  805. The subversion process
  806. MEND’ For Fast Model Editing At Scale
  807. Data Structures and Algorithms
  808. Digital Identify, Virtual World, Web3 Technologies
  809. Lama Cleaner - Watermark Remover Open source
  810. Dig Auto Profiler for Datasets
  811. Learn from the best ML courses by Google
  812. Basic Git Commands to get started - 14 days of Git
  813. #Web3 and #Blockchain development
  814. 10 Top MlOps Books for Data Scientists
  815. GAN Types
  816. Machine learning resources YouTube
  817. NLP resources for Indian languages
  818. Feature Engineering with Neo4j and SageMaker
  819. Books on Productivity Boost
  820. 7 FREE Web3 tutorials you need to know:
  821. GitHub - dosisod/refurb: A tool for refurbishing and modernizing Python codebases
  822. Researchers At IIIT Allahabad Propose T2CI GAN:
  823. Deep Learning - UCB Berkeley 2021
  824. Automated Machine Learning Hyperparameter Tuning in Python
  825. Web3 Development and #Blockchain YouTube Courses
  826. Top 10 Resources to get Free Datasets
  827. Unsupervised anomaly detection using Anomalib library
  828. A Framework for #web3 Infrastructure
  829. Why building the metaverse is going to be a ‘thrilling ride’
  830. Awesome Diffusion Models
  831. 32 Important Datasets to Start Data Science
  832. 8 highly appreciated technical posts & videos
  833. Salesforce Einstein, future of CRM
  834. Machine Learning Models for Object Recognition in Underwater Video Images
  835. Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
  836. An introduction to cheminformatics, data analysis and machine learning
  837. AI to discover faster matrix multiplication
  838. Free Certification Courses in Data Science using Python from IBM.
  839. Aerial Vehicles detection Check
  840. 14 Data Science Skills
  841. How to add a Subdomain in Github Pages- Tutorial 3
  842. Another tool won’t fix your MLOps problems \ by David Hershey \ Medium
  843. MLOPS is not MLOPS Tools
  844. Data science on Google cloud
  845. Set of Techniques for Boosting Model Efficiencies
  846. Researchers at Activeloop AI Introduce ‘Deep Lake’
  847. Big data pipeline on AWS Azure and GCP
  848. DSC Webinar Series: How to Create Mathematical Optimization Models with Python
  849. Model interpretability
  850. Distributed Data Parallel in PyTorch - Video Tutorials
  851. AI technologies for marketing
  852. Why people give up?
  853. Causal inference
  854. Thesis Defence Questions
  855. Katonic MLOps Platform \ Katonic
  856. Neptune vs TensorBoard - neptune.ai
  857. Synthetic Data - Machine Learning Techniques
  858. Transformer Models
  859. How to get better cell phone signal
  860. What is GATO?
  861. How do Google/Apple maps blur license plates
  862. Sales funnel
  863. How can banks become #AI/#Metaverse ready?
  864. Fraud detection
  865. Learn #Web3 for free
  866. Digital detox
  867. Into the metaverse: How conversational AI will build its experiential foundation
  868. Application of iot
  869. Hike cycle for artificial intelligence 2022
  870. Technology Impact radar for 2022 - Garner
  871. Free Websites to practice python
  872. Understanding the Frisch-Waugh-Lovell Theorem
  873. 5 Data Science and Machine Learning competitions
  874. The challenges of adversarial machine learning in constrained-feature applications
  875. Hardware for Machine Learning spring 2021
  876. FindIt: Generalized Object Localization with NaturalLanguage Queries
  877. Serverless architecture
  878. Metaverse trends by Gartner
  879. Elements of metaverse
  880. How I prepared for DeepMind and Google AI research
  881. 38 Free Courses on Coursera for Data Science You Must Know in 2022
  882. Use machine learning to win the market.
  883. Data Maturity Model
  884. AR vs VR
  885. Building-mlops-pipeline-problems.jpg
  886. AI/ML Tools and Categories
  887. free resources for learning Python and Data Science
  888. Best System design resources
  889. Building blocks of Data Science Project
  890. Jaided AI: EasyOCR documentation
  891. Developer-Y/cs-video-courses: List of Computer Science courses with video lectures.
  892. Google AI Blog: Identifying Disfluencies in Natural Speech
  893. Mastery in coding for data science is daily practice.
  894. Research Paper Format
  895. Computer Vision Research at Google and Boston University Proposes ‘DreamBooth,’
  896. 3 Free Data science books for reference and learning.
  897. Google sheet in Python Pandas
  898. gspread library
  899. Python vs Ruby
  900. How to Read Research Abstract
  901. Cost of AI Project and Estimating the Delivery Time - Addepto
  902. Top 10 Open-Source Cybersecurity Project Ideas for Beginners
  903. Top 10 Datasets For Cybersecurity Projects One Must Know
  904. Top 7 cybersecurity projects for beginners - Great Learning
  905. jivoi/awesome-ml-for-cybersecurity: Machine Learning for Cyber Security
  906. Sipeed’s TinyMaix Puts MNIST Digit Recognition on a Modest Microchip ATmega328 Microcontroller
  907. Model Fitting and Line of Regression
  908. The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
  909. Data Visualization Types: Everything a Marketer Needs to Know - TapClicks
  910. Bitcoin Prediction - Using FBProphet
  911. How to Generate Images from Text with Stable Diffusion Models
  912. 5 Exploding Areas Of The Metaverse That May Not Be On Your Radar Yet
  913. Top free Books to Learn Data Science
  914. Reading a Scholarly Article
  915. Machine Learning Algorithms
  916. Organizational Framework to Exploit the Data
  917. AI artist who won competition says art world is ‘in denial’ about the tech
  918. University of Washington MATH 340 Abstract Linear Algebra Summer 2020
  919. Important links for writing research articles
  920. Geometric Deep Learning - AMMI
  921. Creating Mathematical Animations in Python using Manim -
  922. Necessary libraries for Manim
  923. manim library
  924. Professional AI whisperers have launched a marketplace for DALL-E prompts
  925. Dealing with Outliers Using Three Robust Linear Regression Models
  926. solar Power and Surface Area Required
  927. Cost of defect Leakage
  928. 5WH of Data Engineering
  929. A Novel Approach to Creating Tailored Odors and Fragrances Using Machine Learning
  930. Reservoir of data science and machine publications
  931. How to Download, Install and Use Nvidia GPU For Tensorflow
  932. Techniques for Training Large Neural Networks
  933. microsoft/ML-For-Beginners - lassic Machine Learning for all
  934. SigmaQuan/Better-Python-59-Ways:
  935. Top 20 Linked List Coding Problems
  936. How Wireless Charger Works
  937. Probability summary
  938. Causal Inference and Statistical Inferencel
  939. Why Zomato is goldmine
  940. Quantum information science
  941. AI Problems
  942. AI governance framework
  943. Agile Scrum Resources
  944. Weather Data
  945. How to built Positive Team Culture
  946. Key Factors for Successful Goal Achievement
  947. Application of Stats
  948. Future of AI
  949. what to do when I make a mistake
  950. A new model that automatically generates movie trailers
  951. Software Professions
  952. Password Breaking Time
  953. Adjacent Numbers in a Perfect Square 1-32
  954. Evolution of Standard Oil
  955. Watch Me Build an AI Startup
  956. ML Frameworks/Tools
  957. Data Science Project Stages
  958. Machine Learning Resources
  959. Understanding Skewed Distribution
  960. Google Search Tech
  961. Machine Learning Classical vs Quantum
  962. New England Complex Systems Institute
  963. Google Cloud Next

AI Diary 2

Table of Contents

  1. In my Control and Out of My Control
  2. The Mathematical Modeling of Black Swan Events
  3. Analyzing Transformers in Embedding Space Explained
  4. Multimodality is the future! Here are 10 multimodal models that can be used to build futuristic
  5. 2000+ new AI tools were released in the last 30 days.
  6. Generative AI, OpenAI, and ChatGPT: What are these?
  7. MIT university is offering FREE education in Data Science.
  8. A Complete Guide to Creating and Storing Embeddings for PostgreSQL Data
  9. A New Era of GPTs: 10 Game-Changing Creations
  10. Comparing the Performance of LLMs: A Deep Dive into Roberta, Llama 2, and Mistral for Disaster Tweets Analysis with Lora
  11. Multi-Modal RAG : LlamaIndex Blog
  12. CS50’s Introduction to Artificial Intelligence with Python
  13. Artificial Intelligence in Business: Creating Value with Machine Learning
  14. CS50’s Introduction to Computer Science
  15. Data Analytics can be divided into 5 types based on the questions it can answer.
  16. Learn the power of LangChain: A comprehensive guide to building custom Q&A chatbots
  17. LLM Collection - Prompt Engineering Guide
  18. In Machine learning, We have 2 types of errors: Reducible and Irreducible.
  19. Data characteristics
  20. Autoencoders are Neural Networks!
  21. Best YouTube Courses for Programming:
  22. Mathematics for Machine Learning
  23. How to Learn System Design?
  24. Here’s a list of favorite recent LLM papers to read:
  25. Language Translation using PyTorch Transformer
  26. How to Fine-tune LayoutLMv3
  27. Malaria Classification with Vision Transformer and PyTorch
  28. Generative AI Models vs Discriminative AI Models
  29. Infographic: 50 Cognitive Biases in the Modern World
  30. MIT Researchers Introduce PFGM++
  31. I Scanned 1000+ Prompts so You Don’t Have to: 10 Need to Know Techniques
  32. The ChatGPT list of Lists: A collection of 3000+ Prompts, examples, usecases
  33. Why We Should Be Careful Using One-Tailed Hypothesis Tests in Research🧪📊
  34. Top Large LLM Interview Questions & Answers
  35. Tough SQL questions
  36. Graph Convolutional Networks: Introduction to GNNs
  37. Relationships Between t and F, and z and Chi-square
  38. You can now fine-tune an LLM without writing a single line of code!
  39. Introducing no-code LLM FineTuning with Monster API
  40. BERT applications you should know about:
  41. Revolutionizing Language Models Unleashing the power of retrieval augmented generation rag
  42. Code Llama - NVIDIA NGC
  43. Agriculture usecases
  44. dhblog - Why and How to Fine-tune CLIP
  45. ICML 2023 Tutorials
  46. Similarity Algorithms :: TigerGraph Graph Data Science Library
  47. TQDM Usecases
  48. When Companies were founded
  49. Enterprises are deploying LLMs in these four ways.
  50. Exploring the promise of generative models in chemistry an introduction to diffusion-models
  51. Graph of Thoughts: Solving Elaborate Problems with Large Language Models
  52. The Definitive Guide to Einstein GPT - Salesforce Ben
  53. LLM: A CLI utility and Python library for interacting with Large Language Models
  54. Tensor Algebra and its Applications to Data Science and Statistics
  55. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
  56. Retrieval-Augmented Multimodal Language Modeling
  57. “GraphGPT converts unstructured natural language into a knowledge graph.”
  58. Deep Bidirectional Language-Knowledge Graph Pretraining
  59. Code Llama: Open Foundation Models for Code
  60. Introducing Code Llama, a state-of-the-art large language model for coding
  61. Salesforce+ Salesforce AI Day: Calling all TrAIlblazers
  62. Tutorials and Unpublished Papers
  63. Salesforce’s CodeT5 system can understand and generate code
  64. Tryage: Real-time, intelligent Routing of User Prompts to Large Language Model
  65. LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning (Practical Experience Report)
  66. MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
  67. Dive into LoRA Adapters
  68. AutoGen: Enabling Next-Gen GPT-X Applications - FLAML
  69. Aman’s AI Journal • Reinforcement Learning from Human Feedback (RLHF)
  70. The Role of AI in Biomarker-Driven Oncology Clinical Trials
  71. What is Sensor Data? Examples of Sensors and Their Uses - Definition from TechTarget
  72. Img2Img: Stable Diffusion Image-to-image Explained - Dataconomy
  73. AI Glossary: Artificial Intelligence Terms - Dataconomy
  74. Chunking for LLMS using Haystack Huggingface
  75. Fine-Tune Your Own Llama 2 Model in a Colab Notebook - Towards Data Science
  76. WizardLM/WizardLM-13B-V1.1 · Hugging Face
  77. lmsys/vicuna-13b-v1.3 · Hugging Face
  78. LlamaIndex - Data Framework for LLM Applications
  79. Complex Earth Moon Rotation
  80. Learning to Identify Critical States for Reinforcement Learning from Videos
  81. Tools for literature review project
  82. ARM vs Intel: What Are They? What is the Difference Between Them?
  83. A Gentle Introduction to Calculating the BLEU Score for Text in Python
  84. Statistical source expansion for question answerin
  85. Inc42 Media: The Game Of Multiples: Analysing Startup Valuations
  86. Analytics India Magazine: Top 7 Generative AI Courses by AWS
  87. Swarajya: How India Is Using AI To Build The Internet For Local Languages
  88. CNBCTV18: How multiple Indian farmers are cultivating world’s most expensive Miyazaki mangoes to earn millions
  89. Deccan Herald: DH Toon: ‘Kartavya’ limited to campaigns
  90. Analytics India Magazine: Andrew Ng & HuggingFace Introduce New Course on Generative AI
  91. Top 10 Free Specialised Courses by Andrew Ng
  92. Analytics Insight: Sam Altman’s Worldcoin Surpasses 2 Million Sign-ups, InQubeta (QUBE) Set to Deliver Impressive 50x ROI to Its Investors
  93. Best Transformer Based LLMs on HuggingFace (Part 1)
  94. Web 3.0: The Future of Internet
  95. Long Sequence Modeling with XGen: A 7B LLM Trained on 8K Input Sequence Length
  96. Meet DORSal: A 3D Structured Diffusion Model for the Generation and Object-Level Editing of 3D Scenes
  97. Step-by-Step BERT Implementation Guide - Analytics Vidhya
  98. Beebom: 12 Best Large Language Models (LLMs) in 2023
  99. Unity Announce the Release of Muse: A Text-to-Video Games Platform that lets you Create Textures, Sprites, and Animations with Natural Language
  100. The Indian Express: ChatGPT is just the tip of the iceberg: 10 AI tools that are way cooler than OpenAI’s chatbot
  101. Free Neo4j Beginners Courses
  102. Using Langchain and Open Source Vector DB Chroma for Semantic Search wit…
  103. Machine Learning Pipelines for Kubeflow
  104. Video series on Machine learning theory and how to apply the algorithms
  105. Abacus.AI - Effortlessly Embed Cutting Edge AI In Your Applications.
  106. Explore the ChatLLM feature by #abacusai.
  107. ChatGPT can help you write a standout resume in seconds—here’s how
  108. Let’s learn Data Science in 2023, All are FREE
  109. FREE certification course from Harvard University:
  110. List of Awesome AI Agents
  111. ML for economics
  112. Noteable Plugin: The ChatGPT Plugin That Automates Data Analysis - KDnuggets
  113. From Google Colab to a Ploomber Pipeline: ML at Scale with GPUs - KDnuggets
  114. ColabCode: Deploying Machine Learning Models From Google Colab - KDnuggets
  115. Running Redis on Google Colab - KDnuggets
  116. Abacus.AI - Effortlessly Embed Cutting Edge AI In Your Applications.
  117. What’s going on with the Open LLM Leaderboard?
  118. Become a Full Stack Developer for FREE
  119. Language is remarkably nuanced
  120. Techniques to Cut the Costs of Using ChatGPT and GPT-4
  121. How to Draw Graphs, Charts, and Diagrams in ChatGPT - Beebom
  122. How to Write A Business Plan PDF - PDF Gate
  123. Database Sharding Explained
  124. Meet Gorilla: UC Berkeley and Microsoft’s API-Augmented LLM Outperforms GPT-4, Chat-GPT and Claude.
  125. How to Build ML Applications on the AWS Cloud with Kubernetes and oneAPI
  126. TestNYC-Benchmark-GPT4
  127. Neural Networks
  128. GPT4-Multimodal
  129. How to evaluate and compare results between GPT-3, GPT-4, ChatGPT?
  130. LLama2
  131. DocPrompting: Generating Code by Retrieving the Doc
  132. Awesome Transformers
  133. HuggingFace released PEFT
  134. Meta-Learning Fast Weight Language Models
  135. Cisco Networking Academy is offering this Certifications and Courses (FREE)
  136. “How Cloud Computing is transforming from raw infra to app-centric services”
  137. Data Science Deconstructedl
  138. Top No-Code Machine Learning Platforms
  139. Data Analyst Roadmap
  140. Question Answer Generation
  141. ‘Lessons Learned Applying NLP to Create a Web-Scale Knowledge Graph’
  142. All the ways to Deploy a ML Model
  143. Selection of Appropriate Statistical methods For Data Analysis
  144. Contrastive learning
  145. EDA Visuals
  146. AI Decision Tree
  147. Grab these top-rated AI/ Machine Learning books for FREE!📚🔥
  148. Trick for better LLM context retrieval for those who haven’t seen it:
  149. HypotheticalDocumentEmbedder
  150. Transformer Model Chronology
  151. Distributed Backpropagation Algorithm
  152. Overview of MLOps in Dev, Stage, Production Env.
  153. GPT Progression
  154. Google GAN
  155. Data Science, Machine Learning & Deep learning Topics
  156. Takeaways From the Linkedin Algorithm Report
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  159. Digital Twin
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  161. AI Explainability 360
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  165. Information Retrieval Metrics
  166. Data and Analytics Platform - 1
  167. Data and Analytics Platform - 2
  168. How to Modernize Enterprise Data
  169. MLOPS Tools
  170. Data Engineering
  171. VALL-E, that generates audio from text #MSFTResearch!
  172. GitHub : 7 quality learning resources
  173. Handling Missing Data
  174. Learn For Free
  175. Top 10 Freelancing Websites
  176. Unexplored Python Libraries for Time Series Analysis
  177. 12 Time Series Python Libraries incl Deep Learning
  178. Sanskrit text extraction
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  180. OpenAI Introduces Point-E
  181. MLIR Compiler Infrastructure
  182. Vision MLOps Assistors
  183. Understanding Bias-Variance Trade-off from a Bayesian Perspective
  184. Deep Learning Paper Implementations
  185. Can we solely rely on LLMs’ memories
  186. CMU Advanced NLP Lectures playlist
  187. 30m global terrain dataset
  188. Machine‐learning‐enabled discrete element method: Contact detection and resolution of irregular‐shaped particles
  189. Microsoft is offering online courses for FREE
  190. The Code Review Pyramid
  191. 30 Cybersecurity search engines for Researchers:
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  193. SOAP and REST APIs
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  202. Customer Reviews NLP Spacy Analysis and ML/AI Demand Forecasting of the Steam PC Video Game Service – Digital High Science
  203. Neo4j and Google Cloud Join Forces to Empower Generative AI with Knowledge Graphs - Multiplatform AI
  204. Introducing DistMult and ComplEx for PyTorch Geometric
  205. Integrate LLM workflows with Knowledge Graph using Neo4j and APOC
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  209. Synthetic Data Explainable AI
  210. Roadmap to learn Web3
  211. Aeroponic Potato Farming Technique And Its Advantages
  212. How to Grow Potatoes in The Air With a Technique That Increases The Yield by 10x
  213. GRC
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  215. Data generator
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  217. Essence of linear algebra
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  219. Video lectures, Statistical Learning by Se-Young Yun
  220. Video lectures, Deep Learning by Se-Young Yun
  221. Speech Synthesis, Recognition, and More With SpeechT5
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  241. nlpconnect/vit-gpt2-image-captioning · Hugging Face
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  243. Large Language Models and Where to Use Them: Part 1
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  246. Using PyGWalker to Enhance Your Jupyter Notebook EDA Experience
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  266. Inner (Dot) product of two Vectors. Applications in Machine Learning
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  268. How to Use Large Language Models (LLM) in Your Own Domains
  269. chatGPT Telegram
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  272. Explore Notus-7B released model.
  273. How to Effectively use Docker!
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  287. Video lectures, Stanford CME 302 Numerical Linear Algebra autumn 2007
  288. You need to be careful with Time Bias
  289. Data Leakage is more dangerous than Overfitting.
  290. First-ever course on Data-Centric AI
  291. Anomaly detection with pytimetk
  292. Boxplots vs Raincloud
  293. Data visualization and exploration
  294. Multi-Modal Retrieval
  295. Top Important Computer Vision Papers for the week from 28-8-to-3-9
  296. Do You Need to Know All Design Pattern?
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  305. Introduction MMMU, a Massive Multi-discipline Multimodal Understanding
  306. Introduction to Important AI Tools/Courses
  307. LLM+LLMops APIs
  308. Generating or engineering features from Time Series data
  309. How Many LLMs do you know?
  310. The latest ML research:
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  312. Checklist for Data Scientists or Machine Learning or AI practitioners
  313. Activation functions while working with neural nets.
  314. Critical Considerations in Model Development and Evaluation
  315. Open-Source LLMs vs. ChatGPT
  316. What is Table Transformer (TATR)?
  317. Open Source LLMs, Fine-Tunes and RAG Based Vector Store APIs - The Abacus.AI Blog
  318. Trip down the GPU lane with Machine Learning - PPT
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  320. The 40-hour LLM application roadmap: Learn to build your own LLM applications from scratch
  321. What’s next in large language model (LLM) research? Here’s what’s coming down the ML pike
  322. Feature Engineering
  323. Accelerating Generative AI with PyTorch II: GPT, Fast - PyTorch
  324. Google Cloud Skills Boost
  325. Table detection and recognition with Table Transformer (TATR).
  326. Glossary of artificial intelligence - Wikipedia
  327. Machine learning - Wikipedia
  328. Data Collection Techniques
  329. Document Embedding

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Dr. Hari Thapliyal is a prolific blogger and seasoned professional with an extensive background in Data Science, Project Management, and Advait-Vedanta Philosophy. He holds a Doctorate in AI/NLP from SSBM, Geneva, along with Master’s degrees in Computers, Business Management, Data Science, and Economics. With over three decades of experience in management and leadership, Hari has extensive expertise in training, consulting, and coaching within the technology sector. His specializations include Data Science, AI, Computer Vision, NLP, and machine learning. Hari is also passionate about meditation and nature, often retreating to secluded places for reflection and peace.

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