Stars
verl: Volcano Engine Reinforcement Learning for LLMs
Official implementation of All Atom Diffusion Transformers (ICML 2025)
An accurate and trainable end-to-end protein-ligand docking framework
[ICML 2024] CLLMs: Consistency Large Language Models
Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.
Supporting code for our paper "Protein Sequence Modelling with Bayesian Flow Networks"
A trainable PyTorch reproduction of AlphaFold 3.
Official PyTorch implementation for ICLR2025 paper "Scaling up Masked Diffusion Models on Text"
NeurIPS24: Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
Simple Scalable Discrete Diffusion for text in PyTorch
Chai-1, SOTA model for biomolecular structure prediction
Full-Atom Peptide Design based on Multi-modal Flow Matching (ICML 2024)
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
[NeurIPS 2024] Simple and Effective Masked Diffusion Language Model
Official JAX implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
[ICCV 2023] Efficient Diffusion Training via Min-SNR Weighting Strategy
From Theory to Therapy: Reframing SBDD Model Evaluation via Practical Metrics
[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
Official repository for MolCRAFT series
Implementation for ICLR2024 Oral paper "Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks"