Alternatives and similar repositories for mmd_loss_pytorch

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

• hsouri / BayesianTransferLearning
  ☆110Updated 3 years ago
• VinAIResearch / DSW
  Distributional Sliced-Wasserstein distance code
  ☆50Updated last year
• namratadeka / circe
  Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)
  ☆21Updated 3 years ago
• xiaoiker / Awesome-Hyperbolic-NeuralNetworks
  Papers and Codes for the deep learning in hyperbolic space
  ☆185Updated 3 years ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆61Updated 3 years ago
• mfederici / Multi-View-Information-Bottleneck
  Implementation of Multi-View Information Bottleneck
  ☆135Updated 5 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆123Updated 2 years ago
• connorlee77 / pytorch-mutual-information
  Mutual Information in Pytorch
  ☆115Updated 2 years ago
• gtegner / mine-pytorch
  Mutual Information Neural Estimation in Pytorch
  ☆345Updated last year
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆49Updated 6 years ago
• danielgreenfeld3 / XIC
  Robust Learning with the Hilbert-Schmidt Independence Criterion
  ☆49Updated 5 years ago
• BorealisAI / ranksim-imbalanced-regression
  [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
  ☆52Updated 3 years ago
• mil-tokyo / hyperbolic_nn_plusplus
  Official PyTorch implementation of Hyperbolic Neural Networks++
  ☆79Updated 4 years ago
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆73Updated last year
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆105Updated 4 years ago
• MehdiZouitine / Learning-Disentangled-Representations-via-Mutual-Information-Estimation
  Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)
  ☆83Updated 4 years ago
• burklight / nonlinear-IB-PyTorch
  Pytorch Implementation of the Nonlinear Information Bottleneck
  ☆41Updated last year
• kimiandj / gsw
  ☆42Updated 5 years ago
• arobey1 / mbdg
  ☆36Updated 4 years ago
• ae-foster / pytorch-simclr
  A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.
  ☆49Updated last year
• microsoft / otdd
  Optimal Transport Dataset Distance
  ☆173Updated 3 years ago
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆78Updated 3 years ago
• ermongroup / smile-mi-estimator
  PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"
  ☆77Updated 5 years ago
• BayesWatch / deep-kernel-transfer
  Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
  ☆206Updated 3 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆88Updated 3 years ago
• kilianFatras / awesome-optimal-transport
  A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…
  ☆232Updated 4 years ago
• y0ast / DUE
  Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".
  ☆115Updated 3 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆57Updated 6 years ago
• lauramanduchi / DC-GMM
  This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".
  ☆34Updated 3 years ago
• TongtongFANG / DIW
  Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".
  ☆30Updated 4 years ago