Alternatives and similar repositories for Fair-PCA:

Users that are interested in Fair-PCA are comparing it to the libraries listed below

• gpeyre / 2016-ICML-gromov-wasserstein
  Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.
  ☆73Updated 8 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 3 years ago
• skolouri / swgmm
  Sliced Wasserstein Distance for Learning Gaussian Mixture Models
  ☆62Updated last year
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 4 years ago
• mikigom / large-scale-OT-mapping-TF
  Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
  ☆19Updated 6 years ago
• tomMoral / AdaptiveOptim
  Adaptive optimization procedure
  ☆16Updated 7 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• MichaelArbel / Scaled-MMD-GAN
  Scaled MMD GAN
  ☆36Updated 5 years ago
• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆55Updated 5 years ago
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆18Updated 5 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 8 years ago
• wittawatj / cadgan
  ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
  ☆22Updated 8 months ago
• FurongHuang / ConvDicLearnTensorFactor
  Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…
  ☆17Updated 8 years ago
• weilinear / PyRPCA
  Robust PCA in Python
  ☆36Updated 11 years ago
• chervud / AGD-vs-Sinkhorn
  Code for http://proceedings.mlr.press/v80/dvurechensky18a.html
  ☆16Updated 6 years ago
• XiaoxiaSun / supervised-deep-sparse-coding-networks
  supervised deep sparse coding networks
  ☆31Updated 7 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆55Updated 5 years ago
• simplespy / SCAN-from-betaVAE
  Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
  ☆21Updated 7 years ago
• shelhamer / coop-cut
  Cooperative Cut is a Markov Random Field inference method with high-order edge potentials.
  ☆23Updated 6 years ago
• oracleofnj / spectral-repr-cnns
  Implementation of Rippel, Snoek, and Adams 2015 (https://arxiv.org/pdf/1506.03767.pdf)
  ☆38Updated 6 years ago
• RobRomijnders / bayes_nn
  Uncertainty interpretations of the neural network
  ☆32Updated 6 years ago
• icml-mcbn / mcbn
  ☆53Updated 6 years ago
• maremun / swg
  Sliced Wasserstein Generator
  ☆23Updated 6 years ago
• lin-shuyu / ladder-latent-data-distribution-modelling
  In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…
  ☆41Updated 4 years ago
• bwohlberg / sporco-notebooks
  Jupyter notebook usage examples for the SPORCO project
  ☆19Updated 3 years ago
• NLPrinceton / sparse_recovery
  noiseless/nonnegative sparse recovery and feature retrieval via compressed sensing
  ☆36Updated 6 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 7 years ago
• conda-forge / python-spams-feedstock
  A conda-smithy repository for python-spams.
  ☆23Updated 5 months ago
• SamsungLabs / deep-weight-prior
  The Deep Weight Prior, ICLR 2019
  ☆44Updated 3 years ago
• arthurmensch / g-softmax
  Pytorch package for geometric softmax
  ☆12Updated 5 years ago