Alternatives and similar repositories for coranking

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

• jgraving / selfsne
  Self-Supervised Noise Embeddings (Self-SNE)
  ☆158Updated 5 months ago
• wilsonjr / humap
  Hierarchical Uniform Manifold Approximation and Projection
  ☆237Updated 6 months ago
• timsainb / ParametricUMAP_paper
  Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…
  ☆151Updated 4 years ago
• eamid / trimap
  TriMap: Large-scale Dimensionality Reduction Using Triplets
  ☆320Updated last month
• ContextLab / seqnmf
  An algorithm for unsupervised discovery of sequential structure
  ☆27Updated 7 years ago
• hyungkwonko / umato
  Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)
  ☆112Updated 2 weeks ago
• Kaleidophon / deep-significance
  Enabling easy statistical significance testing for deep neural networks.
  ☆336Updated last year
• cvxgrp / pymde
  Minimum-distortion embedding with PyTorch
  ☆559Updated 2 months ago
• maxfrenzel / CompressionVAE
  General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
  ☆158Updated 8 months ago
• timsainb / AVGN
  A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating nove…
  ☆70Updated 2 years ago
• beringresearch / ivis
  Dimensionality reduction in very large datasets using Siamese Networks
  ☆338Updated 11 months ago
• mathurinm / example_package
  ☆13Updated 7 months ago
• edahelsinki / slisemap
  SLISEMAP: Combining supervised dimensionality reduction with local explanations
  ☆20Updated 4 months ago
• sciai-lab / cl-tsne-umap
  ☆33Updated 4 months ago
• lmcinnes / glasbey
  Algorithmically create or extend categorical colour palettes
  ☆225Updated 4 months ago
• EthanRosenthal / spacecutter
  Ordinal regression models in PyTorch
  ☆146Updated 3 years ago
• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆188Updated 3 years ago
• alexisthual / fugw
  Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…
  ☆42Updated 3 months ago
• facebookresearch / PoincareMaps
  The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…
  ☆150Updated 4 years ago
• gallantlab / pyrcca
  Regularized kernel canonical correlation analysis in Python
  ☆254Updated 4 years ago
• jacobgil / confidenceinterval
  The long missing library for python confidence intervals
  ☆143Updated last year
• ACCLAB / DABEST-python
  Data Analysis with Bootstrapped ESTimation
  ☆360Updated this week
• VarIr / scikit-hubness
  A Python package for hubness analysis and high-dimensional data mining
  ☆45Updated last year
• darya-chyzhyk / confound_prediction
  Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
  ☆40Updated 6 years ago
• yardencsGitHub / tweetynet
  Hybrid convolutional-recurrent neural networks for segmentation of birdsong and classification of elements
  ☆55Updated 2 years ago
• pearsonlab / autoencoded-vocal-analysis
  Modeling animal vocalizations with variational autoencoders
  ☆24Updated last year
• janezd / baycomp
  ☆74Updated last year
• psinger / CorrelationStats
  ☆35Updated 4 years ago
• abidlabs / contrastive
  Contrastive PCA
  ☆222Updated 10 months ago
• hhcho / densvis
  Density-preserving data visualization tools den-SNE and densMAP
  ☆114Updated 4 years ago