Alternatives and similar repositories for contrastive:

Users that are interested in contrastive are comparing it to the libraries listed below

• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated last year
• berenslab / rna-seq-tsne
  The art of using t-SNE for single-cell transcriptomics
  ☆123Updated 5 months ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆60Updated 4 years ago
• puolival / multipy
  Multiple hypothesis testing in Python
  ☆105Updated 9 months ago
• gallantlab / pyrcca
  Regularized kernel canonical correlation analysis in Python
  ☆250Updated 3 years ago
• gregversteeg / bio_corex
  A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overla…
  ☆142Updated 3 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆182Updated 3 years ago
• omiq-ai / Multicore-opt-SNE
  Parallel opt-SNE implementation with Python wrapper
  ☆37Updated 2 years ago
• NikolayOskolkov / tSNE_vs_UMAP_GlobalStructure
  Here we address the global structure preservation by tSNE and UMAP
  ☆48Updated 5 years ago
• davisidarta / fastlapmap
  Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …
  ☆23Updated 3 years ago
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆70Updated 5 years ago
• KrishnaswamyLab / AAnet
  Archetypal Analysis network (AAnet)
  ☆33Updated 3 months ago
• kylessmith / dynamicTreeCut
  Python translation of the hybrid dynamicTreeCut method as created by Peter Langfelder and Bin Zhang.
  ☆40Updated 3 years ago
• sunericd / dynamicviz
  ☆61Updated 4 months ago
• CamaraLab / scTDA
  An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data
  ☆51Updated 6 years ago
• facebookresearch / PoincareMaps
  The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…
  ☆148Updated 3 years ago
• KrishnaswamyLab / SAUCIE
  ☆99Updated 7 months ago
• mvlearn / mvlearn
  Python package for multi-view machine learning
  ☆210Updated last year
• IlyaLab / CombiningDependentPvaluesUsingEBM
  Python, R and Matlab implementation of Brown's Method to combine dependent P-values
  ☆25Updated 7 years ago
• andrewcharlesjones / pcpca
  Probabilistic contrastive principal component analysis (PCPCA)
  ☆24Updated 3 years ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆132Updated last year
• timsainb / ParametricUMAP_paper
  Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…
  ☆150Updated 4 years ago
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆53Updated 7 months ago
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆280Updated last year
• jcbmarques / clusterdv
  Density valley clustering (cluserdv). Matlab implementation.
  ☆26Updated 6 years ago
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆151Updated 2 years ago
• scvae / scvae
  Deep learning for single-cell transcript counts
  ☆88Updated last month
• msesia / knockoff-filter
  A versatile interface to the knockoff methodology.
  ☆24Updated 3 years ago
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆54Updated 3 months ago
• cantinilab / OT-scOmics
  This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…
  ☆38Updated 2 years ago