fastai-ml-learn

Introduction

This repository stores all notebooks and notes while learning Deep Learning from the providers and source material that are listed below.

Each bullet point has links to my notebooks and notes in this repo.

Note: All notebooks are implemented in PyTorch, Transformers or Tensorflow - while some of the reference material are in FastAI, I've used that only as a reference for technique

1. FastAI

   • Practical Deep Learning for coders - Part 1
     • NN from scratch (Titanic model on Kaggle)
     • NLP and Transformers
       • Additional Reference: Iterate like a Grandmaster on NLP work
     • CNNs
       • Additional Reference: Road to the top - CNNs

2. HuggingFace

   • LLMs and RAG
   • References:
     • Simple/Naive RAG on HF LLM Recipes
     • Advanced RAG on HF LLM Recipes