Beginner, advanced, expert level Rust training material

A geometric foundation model for enzyme retrieval with evolutionary insights.

This repository contains the resources(papers, blogs, websites, etc.) Ilya recommended to learn about Artificial Intelligence.

A modular and user-friendly Python framework for protein and ligand engineering workflows on SLURM clusters

Generative model for protein binder design for protein and small molecule targets. Combines a pretrained flow-based generative model (built on La-Proteina) with inference-time optimization.

Official inference framework for 1-bit LLMs

Code for Branched Schrödinger Bridge Matching (ICLR 2026)

Interpretable bilinear attention network with domain adaptation improves drug-target prediction.

AI agents running research on single-GPU nanochat training automatically

Codebase for our preprint using trRosetta to design proteins with discontinuous functional sites, found here: https://www.biorxiv.org/content/10.1101/2020.11.29.402743v1.abstract

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Making Protein folding accessible to all!

7.571 - Quantitative Analysis of Biological Data Material

Protein-ligand structure prediction

Training neural networks on Apple Neural Engine via reverse-engineered private APIs

A minimal PyTorch re-implementation of AlphaFold2's model & training

Official Implementation of BiFlow https://arxiv.org/abs/2512.10953

MULTI-evolve: a machine learning-guided end-to-end framework for engineering hyperactive multi-mutant proteins

Publication-quality molecular graphics.

DFMDock (Denoising Force Matching Dock), a diffusion model that unifies sampling and ranking within a single framework.

Kolmogorov Arnold Networks

The missing tiktoken training code

gRNAde is a Generative AI framework for inverse design of 3D RNA structure and function

Official repository of "ODesign: A World Model for Biomolecular Interaction Design"