Alternatives and similar repositories for MaximumVarianceUnfolding

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

• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆151Updated 3 years ago
• drewwilimitis / Manifold-Learning
  Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…
  ☆239Updated 5 years ago
• amber0309 / HSIC
  Python code of Hilbert-Schmidt Independence Criterion
  ☆88Updated 3 years ago
• probabilisticai / probai-2021
  Materials of the Nordic Probabilistic AI School 2021.
  ☆93Updated 4 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆45Updated 2 years ago
• drewwilimitis / hyperbolic-learning
  Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
  ☆139Updated 5 years ago
• kimmo1019 / Roundtrip
  Roundtrip: density estimation with deep generative neural networks
  ☆63Updated last year
• Mu-DS / practical_training
  Material for the MUDS Practical Data Science Training
  ☆14Updated 4 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• MathieuCarriere / perslay
  Implementation of the PersLay layer for persistence diagrams
  ☆84Updated last year
• mfbalin / Concrete-Autoencoders
  ☆119Updated 3 years ago
• talwagner / fair_clustering
  ☆20Updated 6 years ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆90Updated 6 months ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆147Updated last month
• mvlearn / mvlearn
  Python package for multi-view machine learning
  ☆212Updated last year
• AndrewSpano / Disentangled-Variational-Autoencoder
  PyTorch Implementations of a VAE and a beta-VAE.
  ☆60Updated 4 years ago
• alexbooth / Beta-VAE-Tensorflow-2.0
  Implementation of Beta-VAE in Tensorflow 2 [WORK IN PROGRESS]
  ☆14Updated 5 years ago
• PGM-Lab / probai-2021-pyro
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
  ☆48Updated 3 years ago
• wittawatj / kernel-cgof
  UAI 2020. Kernel goodness-of-fit tests for conditional density models.
  ☆10Updated 5 years ago
• tvayer / FGW
  Code for Optimal Transport for structured data with application on graphs
  ☆102Updated 2 years ago
• gregversteeg / NPEET
  Non-parametric Entropy Estimation Toolbox
  ☆413Updated 2 years ago
• deeprob-org / deeprob-kit
  A Python Library for Deep Probabilistic Modeling
  ☆61Updated 10 months ago
• lee-group-cmu / FlexCode
  Implementation of Flexible Conditional Density Estimator
  ☆24Updated 2 months ago
• pnnl / DDKS
  A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions
  ☆27Updated 2 years ago
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆93Updated 4 months ago
• YannDubs / disentangling-vae
  Experiments for understanding disentanglement in VAE latent representations
  ☆825Updated 2 years ago
• trneedham / gromov-wasserstein-statistics
  Statistics on the space of asymmetric networks via Gromov-Wasserstein distance
  ☆13Updated 5 years ago
• gjkoplik / topology-demos
  explanation / demos of topology concepts
  ☆14Updated 3 years ago
• aidos-lab / curvature-filtrations
  SCOTT: Synthesizing Curvature Operations and Topological Tools
  ☆14Updated 2 months ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆457Updated last year