AlphaFold 3 inference pipeline.

Chai-1, SOTA model for biomolecular structure prediction

Predicting neoantigen and T-cell receptor binding by integrating structural context and sequence evolutionary conservation

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

Implementation of Alphafold 3 from Google Deepmind in Pytorch

Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch

Apache Solr open-source search software

🦜🔗 Build context-aware reasoning applications

Code for the paper "Language Models are Unsupervised Multitask Learners"

Structure-conditioned masked language modeling for protein sequence design

Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"

A generative model for programmable protein design

Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model (NeurIPS 2023 Poster)

CASP15 performance benchmarking of the state-of-the-art protein structure prediction methods

Code for running RFdiffusion

How to Make a Computer Operating System in C++

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

A protein 3D structure prediction application

Open source code for AlphaFold 2.

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

A lightweight parameter server interface

My home page

Learning to Rank in TensorFlow