Alternatives and similar repositories for MaximumVarianceUnfolding:

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

• trneedham / gromov-wasserstein-statistics
  Statistics on the space of asymmetric networks via Gromov-Wasserstein distance
  ☆13Updated 4 years ago
• MathieuCarriere / perslay
  Implementation of the PersLay layer for persistence diagrams
  ☆80Updated last year
• omesner / knncmi
  This python code estimates conditional mutual information (CMI) and mutual information (MI) for discrete and/or continuous variables usin…
  ☆35Updated 3 years ago
• mfbalin / Concrete-Autoencoders
  ☆118Updated 2 years ago
• drewwilimitis / hyperbolic-learning
  Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
  ☆134Updated 4 years ago
• tvayer / FGW
  Code for Optimal Transport for structured data with application on graphs
  ☆98Updated 2 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆44Updated 2 years ago
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆145Updated 3 years ago
• wgao9 / knnie
  k-Nearest Neighbor Information Estimator
  ☆26Updated 6 years ago
• probabilisticai / probai-2021
  Materials of the Nordic Probabilistic AI School 2021.
  ☆93Updated 3 years ago
• jwcalder / GraphLearning
  Python package for graph-based clustering and semi-supervised learning
  ☆91Updated last month
• gwgundersen / random-fourier-features
  Code for random Fourier features based on Rahimi and Recht's 2007 paper.
  ☆51Updated 4 years ago
• ChengzhangZhu / MINE
  Keras implementation (only for tensorflow backend) of MINE: Mutual Information Neural Estimation
  ☆20Updated 5 years ago
• amber0309 / HSIC
  Python code of Hilbert-Schmidt Independence Criterion
  ☆87Updated 2 years ago
• mperrot / ComparisonHC
  Python implementation of several comparison-based hierarchical clustering algorithms.
  ☆7Updated 3 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆98Updated 3 years ago
• gjkoplik / topology-demos
  explanation / demos of topology concepts
  ☆14Updated 2 years ago
• alexbooth / Beta-VAE-Tensorflow-2.0
  Implementation of Beta-VAE in Tensorflow 2 [WORK IN PROGRESS]
  ☆14Updated 5 years ago
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆87Updated 2 months ago
• pnnl / DDKS
  A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions
  ☆27Updated 2 years ago
• mdeff / pygsp_tutorial_graphsip
  Graph signal processing tutorial, presented at the GraphSiP summer school.
  ☆74Updated 6 years ago
• scikit-tda / pervect
  Vectorization of persistence diagrams and approximate Wasserstein distance
  ☆26Updated 5 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆83Updated 6 years ago
• drewwilimitis / Manifold-Learning
  Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…
  ☆232Updated 5 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆67Updated 5 years ago
• pmelchior / proxmin
  Proximal optimization in pure python
  ☆118Updated 2 years ago
• alimirzaei / TSFS
  Deep Feature Selection using Teacher Student Network
  ☆43Updated 5 years ago
• nhartland / KL-divergence-estimators
  Testing methods for estimating KL-divergence from samples.
  ☆63Updated last month
• VMBoehm / PAE
  Probabilistic Auto-Encoder
  ☆42Updated 2 years ago