De Novo Protein Design by Equivariantly Diffusing Oriented Residue Clouds

Pytorch implementation of various Knowledge Distillation (KD) methods.

A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', https://arxiv.org/abs/1905.08094

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

PCASA is a tool for predicting the best gene combination targets of surface antigens by classification of malignant and non-malignant cells using single-cell RNA-seq data.

Official code repository of CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph

PocketGen (Nature Machine Intelligence 24): Generating Full-Atom Ligand-Binding Protein Pockets

AlphaFold 3 inference pipeline.

Graphormer is a general-purpose deep learning backbone for molecular modeling.

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

PocketDTA

CCLasso: Correlation Inference for Compositional Data through Lasso

pytorch implementation of manifold-mixup

Implementation of Mixout with PyTorch

Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023

Official Code of "How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation" (ICML Workshop 2022)

Data Augmentation for Compositional Data

Implementation of Phenotype prediction from single-cell RNA-seq data using attention-based neural networks (Bioinformatics).

Automatic Mixed Precision Tutorials using pytorch. Based on PyTorch 1.6 Official Features, implement classification codebase using custom dataset.

Implementation of our proposed algorithm in domain adaptation for image classification

PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")

"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)

Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

Published papers focusing on graph domain adaptation