yal054
Assistant Professor Washington University School of Medicine
Washington University School of Medicine
yal054's Stars
pytorch/captum
Model interpretability and understanding for PyTorch
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
fair-research/bdbag
Big Data Bag Utilities
ysh329/deep-learning-model-convertor
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
dado3212/spaces-renamer
💻 Ability to rename desktop spaces on macOS 10.10+
Lornatang/VGG-PyTorch
The implementation of VGG thesis is implemented under PyTorch framework
FunctionLab/selene
a framework for training sequence-level deep learning networks
lilab-bcb/cirrocumulus
Bring your single-cell data to life
huqiwen0313/speciesTree
Tree based method for robust cross-species data integration
aertslab/ScoMAP
ScoMAP is an R package to spatially integrate single-cell omics data into virtual cells and infer enhancer-to-gene relationships.
marcoancona/DeepExplain
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
kundajelab/gkmexplain
Accompanying repository for GkmExplain paper
minimaxir/textgenrnn
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
emanuega/MERlin
MERlin is an extensible analysis pipeline applied to decoding MERFISH data
archan937/jsonv.sh
A Bash command line tool for converting JSON to CSV
vibansal/HapCUT2
software tools for haplotype assembly from sequence data
bmvdgeijn/WASP
WASP: allele-specific pipeline for unbiased read mapping and molecular QTL discovery
L1aoXingyu/pytorch-beginner
pytorch tutorial for beginners
bioFAM/MOFA
Multi-Omics Factor Analysis
SydneyBioX/scJoint
BICCN/cell-locator
manually align specimens to annotated 3D spaces
chanzuckerberg/cellxgene
An interactive explorer for single-cell transcriptomics data
liwenran/DeepTACT
DeepTACT: predicting three-dimensional chromatin contacts via bootstrapping deep learning
calico/basenji
Sequential regulatory activity predictions with deep convolutional neural networks.
DataSlingers/iPCA
Integrated Principal Components Analysis
datalad/datalad
Keep code, data, containers under control with git and git-annex
google/deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
kundajelab/tfmodisco
TF MOtif Discovery from Importance SCOres
ernstlab/ChromTime
Modeling Spatio-temporal Dynamics of Chromatin Marks
welch-lab/liger
R package for integrating and analyzing multiple single-cell datasets