mailwangi

mailwangi's Stars

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.5k530835.4k

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.5k7556283.6k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.1k600183k

• deepchem/deepchem

  Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

  Language:Python5.6k1451.7k1.7k

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.9k25214780

• benedekrozemberczki/awesome-graph-classification

  A collection of important graph embedding, classification and representation learning papers with implementations.

  Language:Python4.8k21710741

• phanein/deepwalk

  DeepWalk - Deep Learning for Graphs

  Language:Python2.7k85111823

• chihming/awesome-network-embedding

  A curated list of network embedding techniques.

  2.6k19615504

• stchris/untangle

  Converts XML to Python objects

  Language:Python618285784

• insilicomedicine/GENTRL

  Generative Tensorial Reinforcement Learning (GENTRL) model

  Language:Python6123534218

• dawenl/vae_cf

  Variational autoencoders for collaborative filtering

  Language:Jupyter Notebook5311718159

• mims-harvard/decagon

  Graph convolutional neural network for multirelational link prediction

  Language:Jupyter Notebook4532517142

• deepchem/DeepLearningLifeSciences

  Example code from the book "Deep Learning for the Life Sciences"

  Language:Jupyter Notebook3632520153

• suanrong/SDNE

  This is a implementation of SDNE (Structural Deep Network embedding)

  Language:Python3221026119

• yangji9181/HNE

  Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond

  Language:Python25762349

• Mishima-syk/py4chemoinformatics

  Python for chemoinformatics

  Language:Jupyter Notebook223179491

• Bin-Chen-Lab/Awesome_BigData_AI_DrugDiscovery

  A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks. It may be biased towards my lab interest.

  18112065

• pulimeng/DeepDrug3D

  A convolutional neural network for classifying binding pockets based on spatial and chemical information extracted from the pockets.

  Language:Python10231532

• GentleZhu/HEER

  Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)

  Language:Python65121216

• ropensci/dbparser

  Source code for the R package, "dbparser" (i.e. DrugBank Parser)

  Language:R59514619

• ChengF-Lab/deepDR

  Language:Python522731

• nanxstats/protr

  🧬 Toolkit for generating various numerical features of protein sequences

  Language:R5263413

• eXascaleInfolab/JUST

  Language:Python451257

• yifanclifford/cVAE

  collective Variational Autoencoder

  Language:Python238

• 820fans/awesome-network-embedding

  A curated list of network embedding techniques.

  192019

• 820fans/NRLPapers

  Must-read papers on network representation learning (NRL) / network embedding (NE)

  Language:TeX142019

• dhimmel/rephetio-manuscript

  Markdown source for the Project Rephetio Manuscript https://doi.org/10.7554/eLife.26726

  Language:HTML6331

• wwhlazio/Drug-repositioning-by-integrating-target-information-through-a-heterogeneous-network-model

  Language:Matlab62

• sh0416/BHIN2VEC

  [CIKM'19] BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network Author code

  Language:Python5110

• cosylabiiit/drugADR

  Code consolidation for work done in summer@Complex Systems Lab (IIIT-Delhi)

  Language:Python4614