ANWANGJHU's Stars
lmcinnes/glasbey
Algorithmically create or extend categorical colour palettes
MarioniLab/geneBasisR
R package for gene selection using k-NN graphs.
wanglab-broad/spin
SPatial INtegration of spatially resolved transcriptomics datasets
qsh-zh/deis
[ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator
iancovert/persist
KChen-lab/SCMER
Marker Selection by matching manifolds and elastic net
rdong08/GiniClust3
Rare cell identification tool for single cell datasets
scverse/spatialdata
An open and interoperable data framework for spatial omics data
xzhoulab/SPARK
Spatially resolved transcriptomic analysis
XuegongLab/somde
Algorithm for finding gene spatial pattern based on Gaussian process accelerated by SOM
pinellolab/SVG_Benchmarking
Benchmarking methods for identification of spatially variable genes
ryanchankh/VariationalInformationPursuit
Official Implementation for Variational Information Pursuit for Interpretable Predictions (ICLR 2023)
PMBio/SpatialDE
Test genes for Spatial Variation
KindXiaoming/pykan
Kolmogorov Arnold Networks
Computational-Morphogenomics-Group/MarkerMap
Marker selection, supervised and unsupervised
sungyubkim/MINE-Mutual-Information-Neural-Estimation-
A pytorch implementation of MINE(Mutual Information Neural Estimation)
gtegner/mine-pytorch
Mutual Information Neural Estimation in Pytorch
Teichlab/SpatialDE
Test genes for Spatial Variation
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
euxhenh/multiset-multicover
Multiset multicover using the extended greedy cover algorithm implemented in C++ and exposed to Python.
solevillar/scGeneFit-python
Python code for genetic marker selection using linear programming
sudiptodip15/CCMI
Classifier based mutual information, conditional mutual information estimation; conditional independence testing
ManimCommunity/manim
A community-maintained Python framework for creating mathematical animations.
mfbalin/Concrete-Autoencoders
omesner/knncmi
This python code estimates conditional mutual information (CMI) and mutual information (MI) for discrete and/or continuous variables using a nearest neighbors approach.
CharlesGaydon/Fast-CMIM
Fast but exact implementation of CMIM feature selection algorithm
euxhenh/phenotype-cover
A package for biomarker selection based on multiset multicover and the cross-entropy-method.
mfouesneau/NUTS
python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
zqfang/GSEApy
Gene Set Enrichment Analysis in Python
kuleshov/neural-variational-inference
Neural variational inference and learning in undirected graphical models http://www.stanford.edu/~kuleshov/papers/nips2017.pdf