Alternatives and similar repositories for Pytorch-1D-Wasserstein-Statistical-Loss

Users that are interested in Pytorch-1D-Wasserstein-Statistical-Loss are comparing it to the libraries listed below

• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• connorlee77 / pytorch-mutual-information
  Mutual Information in Pytorch
  ☆113Updated 2 years ago
• yubeic / Sparse-Coding
  This code implements sparse coding in PyTorch with GPU support.
  ☆30Updated 4 years ago
• FabianFalck / mfcvae
  Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…
  ☆40Updated 2 years ago
• MinaGhadimiAtigh / Hyperbolic-Busemann-Learning
  Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
  ☆24Updated 3 years ago
• yuki3-18 / Topological-DVAE
  An implementation of Denoising Variational AutoEncoder with Topological loss
  ☆32Updated 4 years ago
• raghavian / cFlow
  This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…
  ☆30Updated 3 years ago
• cetmann / iunets
  A fully invertible U-Net for memory efficiency in Pytorch.
  ☆129Updated 3 years ago
• MinaGhadimiAtigh / hyperbolic_representation_learning
  The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
  ☆66Updated 3 years ago
• btolooshams / crsae
  CRsAE (constrained recurrent sparse autoencoder)
  ☆15Updated this week
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆105Updated 5 years ago
• koshian2 / swd-pytorch
  Sliced Wasserstein Distance (SWD) in PyTorch
  ☆114Updated 6 years ago
• david-knigge / ccnn
  Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs…
  ☆183Updated 5 months ago
• mingkai-zheng / WCL
  Weakly Supervised Contrastive Learning
  ☆43Updated 4 years ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆61Updated 3 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆104Updated 4 years ago
• CherBass / ICAM
  ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
  ☆54Updated 3 years ago
• singlasahil14 / SOC
  Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
  ☆18Updated 3 years ago
• XJTU-XGU / KPG-RL
  Keypoint-Guided Optimal Transport (NeurIPS 2022)
  ☆25Updated 2 years ago
• mlaves / well-calibrated-regression-uncertainty
  Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
  ☆31Updated 4 years ago
• QingyuZhao / BR-Net
  ☆46Updated 5 years ago
• BorealisAI / ranksim-imbalanced-regression
  [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
  ☆52Updated 3 years ago
• kimiandj / gsw
  ☆41Updated 5 years ago
• ninatu / mood_challenge
  Medical Out-of-Distribution Analysis Challenge MICCAI 2020 Solution
  ☆16Updated 3 years ago
• catalys1 / mae-pytorch
  Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.
  ☆44Updated last year
• VinAIResearch / DSW
  Distributional Sliced-Wasserstein distance code
  ☆50Updated last year
• edchengg / VCCA_pytorch
  VCCA Pytorch Implementation on MNIST dataset
  ☆16Updated 7 years ago
• gaozhitong / MoSE-AUSeg
  The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)
  ☆29Updated 2 years ago
• pajotarthur / unsupervised_image_inpaiting
  Code For Unsupervised Adversarial Image Inpaiting paper
  ☆11Updated 6 years ago
• mfederici / Multi-View-Information-Bottleneck
  Implementation of Multi-View Information Bottleneck
  ☆133Updated 5 years ago