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Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source
Video+code lecture on building nanoGPT from scratch
A curated list of awesome mathematics resources
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
Curated list of project-based tutorials
🧮 A collection of resources to learn mathematics for machine learning
llama3 implementation one matrix multiplication at a time
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🤖 Machine Learning Summer School deadlines
lightweight, standalone C++ inference engine for Google's Gemma models.
The "Python Machine Learning (3rd edition)" book code repository
A collection of IPython notebooks covering various topics.
[ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.
Python interactive dashboards for learning data science
Source code for the Online-Go.com web interface
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.
BAyesian Model-Building Interface (Bambi) in Python.
Light your way in Deep Learning with Torch 🔦
A curated list of awesome computer vision resources
Roadmap to becoming an Artificial Intelligence Expert in 2022
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
List of Computer Science courses with video lectures.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.
📺 Discover the latest machine learning / AI courses on YouTube.