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kongtuotuo's Projects

ampl icon ampl

The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery.

chemprop icon chemprop

Message Passing Neural Networks for Molecule Property Prediction

deepchem-1 icon deepchem-1

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

descriptastorus icon descriptastorus

Descriptor computation(chemistry) and (optional) storage for machine learning

dgl icon dgl

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

fastjtnnpy3 icon fastjtnnpy3

AI for discovering 100% valid drug like molecules, a combination of VAE-JTNN and bayesian optimization, an optimized Python 3 Version of Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

fragvae icon fragvae

Fragment Graphical Variational AutoEncoding for Screening and Generating Molecules

iclr19-graph2graph icon iclr19-graph2graph

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)

icml18-jtnn icon icml18-jtnn

Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

molpal icon molpal

active learning for accelerated high-throughput virtual screening

nevae icon nevae

Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019

nndl.github.io icon nndl.github.io

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

pytorch-handbook icon 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

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