Stars
an innovative collaborative Transformer framework for multi-omics survival analysis
Protein-Protein Language Model with Novel Attention Mechanisms for Enhanced Inter-Protein Contact and Interaction Prediction
Public Release of ProGen3 family of Models
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.
An online playground of diffusion model
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
Code for "Protein Docking Model Evaluation by Graph Neural Networks"