Geometry-aware protein binding site predictor

Exploring Evolution-aware & free protein language models as protein function predictors

PEER Benchmark, appear at NeurIPS 2022 Dataset and Benchmark Track (https://arxiv.org/abs/2206.02096)

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

从零手搓Flow Matching（Rectified Flow）

An online playground of diffusion model

Root Mean Square Layer Normalization

Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing

An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow

The programs for preprocessing cryo-EM density maps for machine learning

Tensorflow Implementation of TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

deep learning for image processing including classification and object-detection etc.

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

ModelZ is a tool for assessing how well structural features are resolved in 3D density maps from Cryo-EM.

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Open source tools for computational pathology - Nature BME

AlphaFold2 non-docker setup

Code for "Protein Docking Model Evaluation by Graph Neural Networks"

A Deep-learning based dOcking decoy eValuation mEthod

Install alphafold on the local machine, get out of docker.

Open source code for AlphaFold 2.

This package contains deep learning models and related scripts for RoseTTAFold

A protein 3D structure prediction application

DLPacker

Computational Crystallography Toolbox

a fast and accurate physical energy function extended from EvoEF for protein sequence design