Alternatives and similar repositories for classifier_tests

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

• vodp / py-kmm
  A Python implementation of Kernel Mean Matching data reweighting algorithm
  ☆33Updated 9 years ago
• MichaelArbel / Scaled-MMD-GAN
  Scaled MMD GAN
  ☆36Updated 6 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 7 years ago
• rflamary / JDOT
  Joint distribution optimal transportation for domain adaptation
  ☆102Updated 7 years ago
• djsutherland / opt-mmd
  Learning kernels to maximize the power of MMD tests
  ☆211Updated 7 years ago
• namkoong-lab / robustopt
  ☆43Updated 7 years ago
• mkocaoglu / CausalGAN
  ☆146Updated 8 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆87Updated 6 years ago
• o-tawab / Variational-Autoencoder-pytorch
  Implementation of a convolutional Variational-Autoencoder model in pytorch.
  ☆74Updated 6 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆64Updated 7 years ago
• dtak / hs-bnn-public
  ☆11Updated 7 years ago
• conormdurkan / neural-statistician
  PyTorch Implementation of Neural Statistician
  ☆60Updated 3 years ago
• fengliu90 / DK-for-TST
  This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
  ☆51Updated 4 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆102Updated 7 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated 2 years ago
• IBM / SIC
  Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019
  ☆14Updated last year
• blei-lab / ars-reparameterization
  Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
  ☆38Updated 8 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆61Updated 2 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆86Updated 6 years ago
• steveli / misgan
  MisGAN: Learning from Incomplete Data with GANs
  ☆80Updated 2 years ago
• thjashin / gp-infer-net
  Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
  ☆42Updated 2 years ago
• vvanirudh / deep-ensembles-uncertainty
  My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
  ☆139Updated 7 years ago
• 1Konny / WAE-pytorch
  ☆66Updated 6 years ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• hmorioka / TCL
  Time-Contrastive Learning
  ☆66Updated 7 years ago
• mingzhang-yin / SIVI
  A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…
  ☆54Updated last year
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 7 years ago
• vivienseguy / Large-Scale-OT
  Stochastic algorithms for computing Regularized Optimal Transport
  ☆58Updated 7 years ago
• djsutherland / mmd
  ☆25Updated 8 years ago
• brain-research / ncp
  Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
  ☆62Updated 5 years ago