Stars
Central repository for biomolecular foundation models with shared trainers and pipeline components
A fully open source biomolecular structure prediction model based on AlphaFold3 with Apple Silicon support
MMseqs2: ultra fast and sensitive search and clustering suite
Open-source foundation of the user-sponsored PyMOL molecular visualization system.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
A fully open source biomolecular structure prediction model based on AlphaFold3
LLM Council works together to answer your hardest questions
Code for the ProteinMPNN paper
Fast and memory-efficient exact attention
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An open source implementation of CLIP.
BoltzGen: Toward Universal Binder Design
PyTorch code and models for VJEPA2 self-supervised learning from video.
A high-performance, GPU-accelerated library for key computational chemistry tasks, such as molecular similarity, conformer generation, and geometry relaxation.
System Level Intelligent Router for Mixture-of-Models at Cloud, Data Center and Edge
A partially latent flow matching model for the joint generation of a protein’s amino acid sequence and full atomistic structure, including both the backbone and side chain.
Enjoy the magic of Diffusion models!
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
AI-powered ab initio biomolecular dynamics simulation
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
Circular visualization in Python (Circos Plot, Chord Diagram, Radar Chart)
Transformer-based sequence correction method for genome assembly polishing
[ICLR 2025 Oral] Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Open-source implementation of AlphaEvolve