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2017_rohban_elife

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awesome-cytodata

A curated list of awesome cytodata resources

ccvae_pytorch

Pytorch codebase for Capturing label characteristics in VAEs

ciger

CIGER - Chemical-induced Gene Expression Ranking

deepce

A deep learning framework for high-throughput mechanism-driven phenotype screening

domain-generalization

All about domain generalization

dp-pyvacy

👁🙅‍♀️Differentially Private Optimization Algorithms for PyTorch

drugembedding

Hierarchical Embedding for Drugs

embedded_gcnn

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

fairness_benchmark

Benchmarking fairness methods

fame

fatdm

Fairness and Accuracy Transfer by Density Matching

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gnn-powerfulgnn

How Powerful are Graph Neural Networks?

graph-generation-vi

graphinvent

Graph neural networks for molecular design.

halfedgemesh-python

hyperbolic-pvae

code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".

molgen-biaae

Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders

molgen-chemvae

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

molgen-graphrnn

Graph Generative Model (Pytorch implementation)

molgen-jtvae

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

molgen-moflow

MoFlow: an invertible flow model for generating molecular graphs

molgen-molecularrnn

molgen-moses

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

msvae

mtsl

Multi-Task Learning for Sequence Labeling

muvitanet

Muti-View Multi-Task Learning for Complication Risk Profiling

nnvlp

NNVLP - A Neural Network-Based Vietnamese Language Processing Toolkit