Alternatives and similar repositories for ParametricUMAP_paper

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

• maxfrenzel / CompressionVAE
  General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
  ☆160Updated 10 months ago
• jgraving / selfsne
  Self-Supervised Noise Embeddings (Self-SNE)
  ☆158Updated 8 months ago
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆55Updated 10 months ago
• hyungkwonko / umato
  Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)
  ☆112Updated 3 months ago
• HazyResearch / HoroPCA
  Hyperbolic PCA via Horospherical Projections
  ☆74Updated 2 years ago
• scottgigante / m-phate
  Multislice PHATE for tensor embeddings
  ☆61Updated 4 years ago
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆94Updated 2 months ago
• crisbodnar / dgm
  Deep Graph Mapper: Seeing Graphs through the Neural Lens
  ☆58Updated 2 years ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆57Updated 3 weeks ago
• beringresearch / ivis
  Dimensionality reduction in very large datasets using Siamese Networks
  ☆337Updated 3 weeks ago
• PAIR-code / understanding-umap
  Understanding the theory behind UMAP
  ☆186Updated 2 weeks ago
• agarwl / neural_additive_models
  Repo for open sourcing the NAMs.
  ☆25Updated 5 years ago
• lmcinnes / sstsne
  Semi-Supervised t-SNE using a Bayesian prior based on partial labelling
  ☆42Updated 9 years ago
• wilsonjr / humap
  Hierarchical Uniform Manifold Approximation and Projection
  ☆239Updated 9 months ago
• suinleelab / attributionpriors
  Tools for training explainable models using attribution priors.
  ☆125Updated 4 years ago
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆103Updated last month
• sciai-lab / cl-tsne-umap
  ☆33Updated 6 months ago
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆151Updated 3 years ago
• berenslab / t-simcne
  Unsupervised visualization of image datasets using contrastive learning
  ☆116Updated 6 months ago
• ksanjeevan / mapper-tda
  Mapper implementation (Topological Data Analysis) in Python
  ☆63Updated 7 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆43Updated 3 years ago
• distillpub / post--grand-tour
  ☆31Updated 2 years ago
• clementchadebec / pyraug
  Data Augmentation with Variational Autoencoders (TPAMI)
  ☆143Updated 3 years ago
• VarIr / scikit-hubness
  A Python package for hubness analysis and high-dimensional data mining
  ☆45Updated last year
• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆192Updated 3 years ago
• adalmia96 / umap-mnn
  ☆23Updated 3 years ago
• MathieuCarriere / sklearn-tda
  Open source library for combining TDA and Machine Learning
  ☆85Updated 2 years ago
• mvlearn / mvlearn
  Python package for multi-view machine learning
  ☆215Updated 2 years ago
• mlhcmit / edx-materials
  Contains public materials for students enrolled in MITx: 6.871x, Machine Learning for Healthcare
  ☆20Updated 4 years ago
• HazyResearch / HypHC
  Hyperbolic Hierarchical Clustering.
  ☆205Updated 2 years ago