zhoutf

finance_gan

Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.

ASE_ANI

ANI-1 neural net potential with python interface (ASE)

book

Deep Learning 101 with PaddlePaddle

CFD-in-TensorFlow

Computational Fluid Dynamics using TensorFlow

compare_gan

Compare GAN code.

deepchem

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

DeepLearningLifeSciences

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

DLMed

Deep learning model to predict cancer cell drug sensitivity

DNN-DTI

The codes for paper "Drug–target interaction prediction with a deep-learning-based model".

DRP-NN

A deep learning model for more accurate prediction of anticancer drug response

Drug-NER-Spacy-Keras

A comparison of two deep learning models: Keras BiLSTM and SpaCy CNN for DRUG Named Entity Recognition..

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

flow

Keras implement of flow-based models

gan

some demo of GANs

gan-qp

GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint

GAN_Time_Series

A model to generate time series data with the purpose of augmenting a dataset of various time series.

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

gans-awesome-applications

Curated list of awesome GAN applications and demo

GANs_for_spiking_time_series

Generative Adversarial Networks for time-series generation

general-notes

Collections of casual notes on my study and work

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

Keras-GAN

Keras implementations of Generative Adversarial Networks.

marburg

physics meets neural networks

models

Models and examples built with TensorFlow

OpenChem

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

pytorch_examples

RGAN

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

scRNAseq-WGAN-GP

Wasserstein Generative Adversarial Network for analysing scRNAseq data

sngan_projection

GANs with spectral normalization and projection discriminator

torchani

Accurate Neural Network Potential on PyTorch