Alternatives and similar repositories for Wasserstein-Fourier

Users that are interested in Wasserstein-Fourier are comparing it to the libraries listed below

• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆35Updated 6 years ago
• jc-audet / WOODS
  Benchmarks for Out-of-Distribution Generalization in Time Series Tasks
  ☆70Updated 3 years ago
• paulbrodersen / entropy_estimators
  Estimators for the entropy and other information theoretic quantities of continuous distributions
  ☆146Updated last year
• fedelopez77 / gyrospd
  GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
  ☆18Updated 4 years ago
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 4 years ago
• zhigao2017 / Learning-to-optimize-on-SPD-manifolds
  code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"
  ☆13Updated 5 years ago
• BorgwardtLab / WTK
  A Wasserstein Subsequence Kernel for Time Series.
  ☆21Updated last year
• CUAI / Riemannian-Residual-Neural-Networks
  [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)
  ☆22Updated last year
• HHalva / hmnlica
  Code for Hidden Markov Nonlinear ICA
  ☆24Updated 4 years ago
• smolavipour / CMI_Neural_Estimator
  Conditional Mutual Informaation Neural Estimator
  ☆14Updated 5 years ago
• zhiwu-huang / SPDNet
  GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.
  ☆61Updated 4 years ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆39Updated 3 years ago
• ilkhem / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆39Updated 5 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆75Updated 3 years ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆49Updated 6 years ago
• hmorioka / TCL
  Time-Contrastive Learning
  ☆67Updated 7 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• HHalva / snica
  Code for the paper 'Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA' @ Neurips'21
  ☆18Updated 9 months ago
• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆57Updated 2 years ago
• omesner / knncmi
  This python code estimates conditional mutual information (CMI) and mutual information (MI) for discrete and/or continuous variables usin…
  ☆39Updated 4 years ago
• jsvir / idc
  Interpretable Deep Clustering for Tabular Data (ICML 2024)
  ☆18Updated 3 months ago
• scikit-adaptation / skada-bench
  Domain Adaptation benchmark
  ☆25Updated 11 months ago
• hturbe / InterpretTime
  Implementation of the InterpretTime framework
  ☆51Updated 2 years ago
• akekic / causal-component-analysis
  ☆25Updated 2 years ago
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆55Updated 2 months ago
• yiftachbeer / mmd_loss_pytorch
  An implementation of Maximum Mean Discrepancy (MMD) as a differentiable loss in PyTorch.
  ☆41Updated 3 years ago
• Yu-Group / adaptive-wavelets
  Adaptive, interpretable wavelets across domains (NeurIPS 2021)
  ☆82Updated 3 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆105Updated 4 years ago
• Linear95 / TC-estimation
  Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators
  ☆17Updated last year
• kimiandj / gsw
  ☆42Updated 5 years ago