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Library for reading and processing ML training data.
A Minimalist, Batteries-included Repository for Advancing World Model Science.
A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.
Official repository for "OMG: Omni-Modal Motion Generation for Generalist Humanoid Control", https://arxiv.org/abs/2606.10340.
Official repository for "Vid2World: Crafting Video Diffusion Models to Interactive World Models" (ICLR 2026), https://arxiv.org/abs/2505.14357
Official repository for "OpenWAM: An Open, Modular Exploration Towards Systematic World–Action Model Pretraining".
S-Space: Exploring Spatial Workspace in Multimodal Models
Recursive LLMs for Retrosynthesis
Open Source Alternative to Vercel, Netlify and Heroku.
Antibody Numbering and Antigen Receptor ClassIfication
Convenience Python APIs for antibody numbering using ANARCI
Generative modeling of molecular dynamics trajectories
A Python implementation of active inference for Markov Decision Processes
Codebase of the paper "Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling" (ICLR 2024)
Codebase of paper "Structure Language Models for Protein Conformation Generation" (ICLR'25)
A high-level programming language for generative biology
A debugging and profiling tool that can trace and visualize python code execution
Course on Flash-attention in Triton
Author's PyTorch implementation of TD3 for OpenAI gym tasks
MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm
[ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
PLaTITO is an open-source model for generative molecular dynamics of proteins.
Rapid fuzzy string matching in Python using various string metrics
Reference implementation for Token-level Direct Preference Optimization(TDPO)
A comprehensive collection of recent papers on graph deep learning
The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs", formerly titled "Benchmarking Generative Models for Antibod…