robmacc

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

autoencoder_ipython

Ipython notebook for blog post entry

autograd

Efficiently computes derivatives of numpy code.

capstone-molecule-environment

Reinforcement learning environment for inverse drug design.

Carbon_Molecule_Autoencoder-master

A Carbon molecule autoencoder neural network

chemical_vae

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

deepchem

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

GAN

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

GENTRL

Generative Tensorial Reinforcement Learning (GENTRL) model

InterFaceGAN

Code for paper `Interpreting the Latent Space of GANs for Semantic Face Editing`

keras-molecules

Autoencoder network for learning a continuous representation of molecular structures.

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

molecule-autoencoder

A project to enable optimization of molecules by transforming them to and from a continuous representation.

moses

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

MUNIT

Multimodal Unsupervised Image-to-Image Translation

objectives

ORGAN

Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

ORGANIC

Code repo for optimizing distributions of molecules.

SeqGAN

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

SPADE

Semantic Image Synthesis with SPADE

stylegan

StyleGAN - Official TensorFlow Implementation

vaemols

Variational Autoencoder for Molecules