Interested in interpretable deep learning in genomics
-
GenNet Public
Framework for Interpretable Neural Networks
-
GenNet-multi-omic Public
GenNet multi-omic neural networks for gene-expression and methylation input
-
-
chromBPnet Public
Forked from kundajelab/chrombpnetBias factorized, base-resolution deep learning models of chromatin accessibility (chromBPNet)
Jupyter Notebook MIT License UpdatedJan 8, 2024 -
-
NVFlare Public
Forked from NVIDIA/NVFlareNVIDIA Federated Learning Application Runtime Environment
-
-
GEPSi Public
Forked from NVIDIA-Genomics-Research/GEPSiGEPSi simulates phenotypes for GWAS data based on a range of conditions and biological assumptions.
Python Apache License 2.0 UpdatedApr 21, 2022 -
-
-
-
hase Public
Forked from roshchupkin/haseFramework for efficient high-dimensional association analyses.
Python GNU General Public License v3.0 UpdatedAug 14, 2020 -
tensorflow Public
Forked from tensorflow/tensorflowAn Open Source Machine Learning Framework for Everyone
C++ Apache License 2.0 UpdatedJul 8, 2020 -
Cartesius_GPU_tools Public
Forked from Svdvoort/Cartesius_GPU_toolsTools to use for the Cartesius GPU cluster
Python GNU General Public License v3.0 UpdatedFeb 13, 2020