Dante1995Wang

Dante1995Wang's Stars

• learncodebygaming/opencv_tutorials

  Tutorials for learning OpenCV by making a video game bot.

  Language:Python536264

• Fraud-Detection-Handbook/fraud-detection-handbook

  Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

  Language:Jupyter Notebook511178

• nathanhubens/Autoencoders

  Implementation of simple autoencoders networks with Keras

  Language:Jupyter Notebook23993

• shuix007/HMGNN

  Heterogeneous Molecular Graph Neural Network

  Language:Python281

• iancovert/sage

  For calculating global feature importance using Shapley values.

  Language:Python25935

• dahjan/DMS_opt

  Language:Python6824

• gifford-lab/antibody-2019

  Language:Python3213

• clinfo/SBMolGen

  Language:Python4211

• google-deepmind/alphafold

  Open source code for AlphaFold 2.

  Language:Python13k2.3k

• jaechanglim/GGM

  graph generative model for molecule

  Language:Python3710

• hwwang55/GraphGAN

  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

  Language:Python532160

• kexinhuang12345/DeepPurpose

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

  Language:Jupyter Notebook993278

• hkmztrk/DeepDTA

  Language:Python230111

• masashitsubaki/molecularGNN_smiles

  The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.

  Language:Python30377

• lifanchen-simm/transformerCPI

  TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524

  Language:Python13540

• pdqn/tox21-challenge

  Solving tox21 challenge

  Language:Python23

• mcs07/PubChemPy

  Python wrapper for the PubChem PUG REST API.

  Language:Python405109

• lorwin0130/DTIS_GCNN

  drug target interactions prediction using gcn

  Language:Python81

• cyc19950621/drug_predict_GCN

  part of drug predict

  Language:Jupyter Notebook1

• JingtaoWang22/CPI_prediction

  This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a transformer for proteins.

  Language:Python2

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55.1k15.9k

• czy36mengfei/tensorflow2_tutorials_chinese

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

  Language:Jupyter Notebook7.8k2k

• dragen1860/TensorFlow-2.x-Tutorials

  TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

  Language:Jupyter Notebook6.4k2.2k

• dragen1860/Deep-Learning-with-TensorFlow-book

  深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

  Language:Jupyter Notebook13.2k4.1k