tpdmskim

tpdmskim's Stars

• DanyeongLee/DiSCO

  [AAAI'24] DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization

  Language:Python121

• aqlaboratory/openfold

  Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

  Language:Python2.8k552

• KeatingLab/PixelDB

  Language:Jupyter Notebook133

• BenevolentAI/DeeplyTough

  DeeplyTough: Learning Structural Comparison of Protein Binding Sites

  Language:Python15837

• piercelab/tcrmodel2

  Language:Python366

• dptech-corp/Uni-Fold

  An open-source platform for developing protein models beyond AlphaFold.

  Language:Python38074

• pharmai/plip

  Protein-Ligand Interaction Profiler - Analyze and visualize non-covalent protein-ligand interactions in PDB files according to 📝 Adasme et al. (2021), https://doi.org/10.1093/nar/gkab294

  Language:Python473107

• MattMcPartlon/protein-docking

  Code for "A Deep Learning Framework for Flexible Docking and Design"

  Language:Python152

• lyzl2010/AdaTime

  Official implementation of AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

  1

• ZongxianLee/MMD_Loss.Pytorch

  A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

  Language:Python19967

• leezonpen/LearningRate_Pytorch

  Learning rate schedular for pytorch.

  Language:Jupyter Notebook1

• twopin/CAMP

  predicting peptide-protein interactions

  Language:Python12431

• PKUterran/MuSDAC

  Multi-Space Domain Adaptive Classification

  Language:Python92

• BUserName/PMGN

  This is the official code repository for MM'20 paper 'Prototype-Matching Graph Network for Heterogeneous Domain Adaptation'

  Language:Python105

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.6k3.8k

• thuml/Transfer-Learning-Library

  Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

  Language:Python3.5k562

• BIT-DA/SSAN

  [ACMMM 2020] Code release for "Simultaneous Semantic Alignment Network for Heterogenous Domain Adaptation" https://arxiv.org/abs/2008.01677

  Language:Python309

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.2k879

• kgl-prml/Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation

  pytorch implementation for Contrastive Adaptation Network

  Language:Python32958

• RosettaCommons/DeepAb

  Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.

  Language:Python15129

• YooJiHyeong/CCSA_PyTorch

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

  Language:Python4410

• samotiian/CCSA

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

  Language:Python10237

• KaiyangZhou/Dassl.pytorch

  A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

  Language:Python1.2k172

• gevaertlab/MultimodalPrognosis

  Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction

  Language:Python8225

• chen-bioinfo/iMFP-LG

  Language:Python111

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k691

• adaliuBC/GATwithEFA_PyTorch

  Realization of stroke classification method Graph Attention Network with Edge Feature Attention using PyTorch.

  Language:Python202

• murnanedaniel/eta-tracker

  A model that attempts to number and identify tracks based on hits binned in pseudorapidity.

  Language:Jupyter Notebook2

• jscant/PointVS

  SE(3)-equivariant point cloud networks for virtual screening

  Language:Python209

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.6k3k