niklexical

sparsesurv

survboard

brc_pytorch

Pytorch implementation of bistable recurrent cell with baseline comparisons.

maui

Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit

MOVE

MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

pycox

Survival analysis with PyTorch

chemical_representation_learning_for_toxicity_prediction

Chemical representation learning paper in Digital Discovery

fdsa

A fully differentiable set autoencoder

paccmann_datasets

pytoda - PaccMann PyTorch Dataset Classes. Read the docs: https://paccmann.github.io/paccmann_datasets/

paccmann_generator

Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).

niklexical/brc_pytorch

Pytorch implementation of bistable recurrent cell with baseline comparisons.

niklexical/maui

Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit

niklexical/MOVE

MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

niklexical/pycox

Survival analysis with PyTorch