lxlsu's repositories
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
chembl_webresource_client
Official Python client for accessing ChEMBL API.
chemical_vae
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
CodingInterviewChinese2
《剑指Offer》第二版源代码
Cpp-0-1-Resource
C++ 匠心之作 从0到1入门资料
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
ECNU-Paper-Template
华东师范大学(ECNU) 硕士 研究生 毕业论文 LaTeX模板
ecnunetwork
A script to connect to the Internet at East China Normal University.
GetBox-PyMOL-Plugin
A PyMOL Plugin for calculating docking box for LeDock, AutoDock and AutoDock Vina.
GlobalLocalImageCompletion_TF
Globally and Locally Consistent Image Completion
gnina
A deep learning framework for molecular docking
GNNPapers
Must-read papers on graph neural networks (GNN)
Image-OutPainting
Keras Implementation of Painting outside the box
image-outpainting-1
Final project for CS 230, Spring 2018.
Keras-GAN
Keras implementations of Generative Adversarial Networks.
lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
molecularGNN_3Dstructure
Graph neural network (GNN) for molecular property prediction (3D structure)
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.
nevae
Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019
openmm
OpenMM is a toolkit for molecular simulation using high performance GPU code.
Pymol-script-repo
Collected scripts for Pymol
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
tensorflow
An Open Source Machine Learning Framework for Everyone
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)