AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks

ColabFold on your local PC

AFCluster-2

Modular reimplementation of AFCluster for varied input/MSA generation, optimized for HPC/HTC workflows

A fully open source biomolecular structure prediction model based on AlphaFold3

A domain parser for Alphafold models

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A variational autoencoder that directly generates the 3D coordinates of immunoglobulin protein backbones.

Tutorials, cheat sheets, and other resources for computational methods for protein design.

Potts model-based protein sequence design

Protein stability prediction using rewired protein generative models

Neural Network Force Field based on PyTorch

Accessible large language models via k-bit quantization for PyTorch.

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.

Predict multiple protein conformations using sequence clustering and AlphaFold2.

Fast deep learning methods for large-scale protein-protein interaction screening

A library for mechanistic interpretability of GPT-style language models

Official repository for our work on micro-budget training of large-scale diffusion models.

Minimal reproduction of DeepSeek R1-Zero

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

Implementing DeepSeek R1's GRPO algorithm from scratch

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies

Attention is all you need implementation