• 1
• 0
• 0

huzhyn/GLN

Implementation of Retrosynthesis Prediction with Conditional Graph Logic Network

• 1
• 0
• 0

huzhyn/retrotemp

Retrosynthesis by template prediction (a la Segler and Waller)

• 1
• 0
• 0

huzhyn/PyRosetta.notebooks

Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design

• 1
• 0
• 0

huzhyn/Protein_Folding_Env

Protein modeling learning environment for deep reinforcement purpose.

• 1
• 0
• 0

huzhyn/chinese-pyrosetta

• 1
• 0
• 0

huzhyn/generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

• 1
• 0
• 0

huzhyn/PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

• 1
• 0
• 0

huzhyn/CGAN

李宏毅GAN课程cGAN动漫人物生产实现代码(含图片)

• 1
• 0
• 0

huzhyn/GAN_learn

李宏毅GAN课程作业

• 1
• 0
• 0

huzhyn/LHYGANMLDS18

学习李宏毅老师MLDS18中的GAN部分

• 1
• 0
• 0

huzhyn/machine_learing_study

• 1
• 0
• 0

huzhyn/lihongyi_ml20

李宏毅2020机器学习作业

• 1
• 3
• 2

huzhyn/GAN-Learning

李宏毅老师GAN的课程作业

• 1
• 0
• 0

huzhyn/NTU-Machine-learning

台湾大学李宏毅老师机器学习

• 1
• 0
• 0

huzhyn/constrained-graph-variational-autoencoder

Sample code for Constrained Graph Variational Autoencoders

• 1
• 0
• 0

huzhyn/drug_learning

Open package with DL and ML tools for drug discovery. It is based in a 3 branch package: 2D-QSAR, 3D-QSAR, simulation+AI

• 1
• 0
• 0

huzhyn/GraphDTA

GraphDTA: Predicting drug-target binding affinity with graph neural networks

• 1
• 0
• 0

huzhyn/The-Databases-for-Drug-Discovery

The Databases for Drug Discovery (DDD)

• 1
• 1
• 0

huzhyn/molecule_generator

Code for "Multi-Objective De Novo Drug Design with Conditional Graph Generative Model" (https://arxiv.org/abs/1801.07299)

• 1
• 0
• 0

huzhyn/molvecgen

Molecular vectorization and batch generation