mathsrocks

coding-the-matrix

Coding the Matrix - Linear Algebra through Computer Science Applications by Philip N. Klein

annotated-transformer

An annotated^2 implementation of the Transformer paper.

deep-learning

Notes on the book Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville

docker

Towards containerisation

docker-containers

A myriad of docker container blueprints (Dockerfiles) for a variety of purposes

fa-dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

fastai.fastbook

The fastai book, published as Jupyter Notebooks

fighting-the-good-fight

A contrarian's effort to make the world a better place.

graphie-tokengt

[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch

leetcode-py3

Leet Code problems implemented in Python 3

mathsrocks.github.io

Jerry's blog - a stoic in the making

ml-ai-ds-envs

Environments for Machine Learning, AI and Data Science work

obsolete.mathsrocks.github.io

python-learning-lpodliw

Python Learning - Learn Python in One Day and Learn It Well

python-learning-lpthw

Python Learning - Learn Python The Hard Way

pa-ak_minGPT

Playfully annotated Andrej Karpathy's minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

pa-ak_nn-zero-to-hero

Playfully annotated Andrej Karpathy's Neural Networks: Zero to Hero

pa-pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

pa-tg-GraphGPS

Recipe for a General, Powerful, Scalable Graph Transformer

recipes

stanford

A collection of annotated course material while self-studying Stanford online open courses.

transformers-in-depth

A collection of resources to study Transformers in depth.

transformers-recipe

🧠 A study guide to learn about Transformers

udacity-git-reflections

udld-udlbook

Understanding Deep Learning - Simon J.D. Prince