Stars
APPS: Automated Programming Progress Standard (NeurIPS 2021)
Code for the paper "A high-performance speech neuroprosthesis"
Code from the paper "High-Performance Brain-to-Text Communication via Handwriting"
Code for the Brain-to-Text '25 competition and "An Accurate and Rapidly Calibration Speech Neuroprosthesis", Card et al. 2024, NEJM
Student version of Assignment 1 for Stanford CS336 - Language Modeling From Scratch
The hub for EleutherAI's work on interpretability and learning dynamics
Official repo for the paper "Bilinear MLPs enable weight-based mechanistic interpretability".
Educational materials on deep learning by Weights & Biases
Solve puzzles. Improve your pytorch.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Language model alignment-focused deep learning curriculum
A set of scripts to synchronize a kobo reader with popular cloud services
The nnsight package enables interpreting and manipulating the internals of deep learned models.
Stampy's copy of Alignment Research Dataset scraper
A library for mechanistic interpretability of GPT-style language models
Papers from the intersection of deep learning and neuroscience
Free and Open Source Alternative to Splitwise. Share expenses with your friends and family.
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
Course website for NEPR 209: Introduction to Mathematical Tools in Neuroscience at Stanford University.
Course website for NEPR208: Computational module, 1st year students
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Interactive roadmaps, guides and other educational content to help developers grow in their careers.