Highlights
- Pro
Stars
The Borzoi model from Calico, but ported to Pytorch
Fast and memory-efficient exact attention
Codebase of the paper "Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling" (ICLR 2024)
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Open source code for AlphaFold.
Direct coupling analysis software for protein and RNA sequences
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Implementation of the Swin Transformer in PyTorch.
Improved RNA Secondary Secondary Structure Prediction using Evolutionary Profile, Mutational Coupling and Two-dimensional Transfer Learning
RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.
MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration
An implementation of Performer, a linear attention-based transformer, in Pytorch
Strategies for Pre-training Graph Neural Networks
Google Research
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.
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
Hierarchical Generation of Molecular Graphs using Structural Motifs
code for "Residual Flows for Invertible Generative Modeling".
GraphVite: A General and High-performance Graph Embedding System
The new source code of the LinearFold, linear-time prediction for RNA secondary structures
Accompanying repository for GkmExplain paper
Our own implementation of Neural Message Passing for Computer Vision paper