ronghezhou

ronghezhou's Stars

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.5k1134371.5k

• WillKoehrsen/feature-selector

  Feature selector is a tool for dimensionality reduction of machine learning datasets

  Language:Jupyter Notebook2.2k9751771

• snap-stanford/ogb

  Benchmark datasets, data loaders, and evaluators for graph machine learning

  Language:Python2k40303403

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.9k29211285

• Thinklab-SJTU/awesome-ml4co

  Awesome machine learning for combinatorial optimization papers.

  Language:Python1.8k392211

• BIMK/PlatEMO

  Evolutionary multi-objective optimization platform

  Language:MATLAB1.8k50112482

• palash1992/GEM

  Language:Python1.3k4292362

• kexinhuang12345/DeepPurpose

  A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

  Language:Jupyter Notebook1k31132281

• volkamerlab/teachopencadd

  TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

  Language:Jupyter Notebook83430163214

• ccsb-scripps/AutoDock-Vina

  AutoDock Vina

  Language:C++68626325232

• soedinglab/hh-suite

  Remote protein homology detection suite.

  Language:C56324329137

• DSPsleeporg/smiles-transformer

  Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.

  Language:Jupyter Notebook32772662

• dreadlesss/rdkit_summary

  rdkit总结与实践

  Language:Jupyter Notebook2243091

• Superzchen/iFeature

  iFeature is a comprehensive Python-based toolkit for generating various numerical feature representation schemes from protein or peptide sequences. iFeature is capable of calculating and extracting a wide spectrum of 18 major sequence encoding schemes that encompass 53 different types of feature descriptors. Furthermore, iFeature also integrates five kinds of frequently used feature clustering algorithms, four feature selection algorithms and three dimensionality reduction algorithms.

  Language:Python1893567

• UCLCheminformatics/ScaffoldGraph

  ScaffoldGraph is an open-source cheminformatics library, built using RDKit and NetworkX, for the generation and analysis of scaffold networks and scaffold trees.

  Language:Python17671040

• divelab/MoleculeX

  Language:Python16561126

• XiaShan1227/GNN-Tutorial

  B站GNN教程资料

  Language:Jupyter Notebook1381016

• P-N-Suganthan/CODES

  Codes for some of my co-authored journal/conference papers

  Language:C++1213458

• DeepGraphLearning/ESM-GearNet

  ESM-GearNet for Protein Structure Representation Learning (https://arxiv.org/abs/2303.06275)

  Language:Python863210

• lucidrains/molecule-attention-transformer

  Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules

  Language:Python58407

• suthels/-

  200多种算法大合集

  4125

• TwilightArchonYz/A-new-Nature-inspired-optimization-algorithm-AFO

  A new Nature-inspired optimization algorithm: Aptenodytes Forsteri Optimization algorithm (AFO)

  Language:MATLAB18225

• JaywayXu/Research-Code

  演化计算/多任务优化/迁移优化

  Language:Java14100

• greglandrum/rdkit

  The official sources for the RDKit library

  Language:HTML9502

• JK-Liu7/AMDGT

  Language:Python7114

• TwilightArchonYz/Improved-Aptenodytes-Forsteri-Optimization-IAFO-Algorithm-

  Improved Aptenodytes Forsteri Optimization (IAFO) : Algorithm and applications

  6100

• leaves520/NLP-practice

  The implement of NLP model with pytorch

  Language:Python4101

• tsingke/awesome-ChatGPT-resource-zh

  精选 OpenAI 的 [ChatGPT](https://chat.openai.com) 资源清单, 跟随最新资源并添加中文相关Work

  200

• tsingke/ChineseResearchLaTeX

  **科研常用LaTeX模板集

  Language:TeX200

• tsingke/vscode-latex

  我的vscode配置-针对latex的配置

  210