Machine Learning, AI courses, papers, docs
Courses
Introduction to Transformer Models for NLP: Using BERT, GPT, and More to Solve Modern Natural Language Processing Tasks
- https://learning.oreilly.com/videos/introduction-to-transformer/9780137923717/
- Sinan Ozdemir
- https://github.com/sinanuozdemir/oreilly-transformers-video-series
Machine Learning with PyTorch
- https://learning.oreilly.com/videos/machine-learning-with/9780135627105/
- David Mertz
- https://github.com/DavidMertz/PyTorch-webinar
Introduction to Deep Learning Using PyTorch
- https://learning.oreilly.com/videos/introduction-to-deep/9781491989944/
- By Goku Mohandas, Alfredo Canziani
Machine Learning in Python for Everyone
Google Generative AI
Andrej Karpathy
- The spelled-out intro to neural networks and backpropagation: building micrograd
- Let's build GPT: from scratch, in code, spelled out
Microsoft
Deep Learning Fundamentals - with Sebastian Raschka
Deep Learning with PyTorch
StatQuest with Josh Starmer
Nvidia
Huggingface NLP
Natural Language Processing with Transformers
Papers
- Llama 2: Open Foundation and Fine-Tuned Chat Models
- DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
- Efficient Estimation of Word Representations in Vector Space
Transformers
- Illustrated Guide to Transformers Neural Network: A step by step explanation
- Intuition Behind Self-Attention Mechanism in Transformer Networks
- LSTM is dead. Long Live Transformers!
- Attention Is All You Need - Paper Explained
Talks
Notebooks
Llama 2
- https://www.youtube.com/watch?v=wI6TCzVbpQA
- How to Chat With Any PDFs and Image Files Using Large Language Models — With Code
- Fine-Tune Your Own Llama 2 Model in a Colab Notebook
Using Llama2
- https://allboutgpt.com/2023/07/19/how-to-download-the-llama-2-model-and-setup-a-complete-guide/
- https://github.com/facebookresearch/llama
- How to Create Custom Datasets To Train Llama-2
- LLAMA-2 🦙: EASIET WAY To FINE-TUNE ON YOUR DATA 🙌
Math
Misc
Kaggle
- 2023 Kaggle AI Report - Essays on the state of machine learning in 2023
- Contemporary Large Language Models LLMs
- Mini-Giants: "Small" Language Models
- Large Language Models : Reasoning ability
- Advances in AI Vision Models in the Last Two Years
- Image and Video Data | Kaggle AI Report
- Image Data Report
- Learnings From the Typical Tabular Pipeline
- Time Series and Tabular Data
- Tabular Data in the Age of AI
- Towards Green AI
- How to Win a Kaggle Competition
- Kaggle AI Report: Medical Imaging Competitions
- 2023 Kaggle AI Report - Generative AI
- Understand, Generate and Transform the World
- A Glimpse into the Realm of Generative AI
- Exploring the landscape of AI Ethics
- Developments in AI and Ethics in the Past 2 Years
- Ethical AI is all we need!!
- Kaggle AI Report Optimization
- AI_models_for_biosciences_and_virus_data
- Kaggle AI Report: Medical Data
- Graph learning and complex networks
Introducing Meta Kaggle for Code: A new open dataset for ML
Word Embeddings
- https://www.tensorflow.org/text/guide/word_embeddings
- https://www.tensorflow.org/text/tutorials/word2vec
- https://saturncloud.io/blog/understanding-embedding-layers-in-keras-a-comprehensive-guide/
GitHub, Packages
- OpenAccess AI Collective
- TRL - Transformer Reinforcement Learning
- FastChat
- bitsandbytes
- sentencepiece