TakaraResearch / Pytorch-1D-Wasserstein-Statistical-LossLinks
1D Wasserstein Statistical Loss in Pytorch
☆28Updated 5 years ago
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
Sorting:
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- Mutual Information in Pytorch☆115Updated 2 years ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆40Updated 2 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 3 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 4 years ago
- Code for Neural Manifold Clustering and Embedding☆62Updated 3 years ago
- Official implementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".☆37Updated 2 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago
- 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
- Medical Out-of-Distribution Analysis Challenge MICCAI 2020 Solution☆16Updated 3 years ago
- An implementation of Denoising Variational AutoEncoder with Topological loss☆32Updated 5 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 3 years ago
- Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs…☆183Updated 8 months ago
- CRsAE (constrained recurrent sparse autoencoder)☆15Updated 2 months ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- Weakly Supervised Contrastive Learning☆45Updated 4 years ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆54Updated 3 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12Updated 3 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆105Updated 4 years ago
- Official implementation of paper "ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datas…☆26Updated 4 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆93Updated 5 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆35Updated last year
- The code of "Improving Deep Regression with Ordinal Entropy" in ICLR 2023☆54Updated 2 years ago
- A pytorch implementation of interpretable convolutional neural network.☆70Updated 4 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆47Updated 6 years ago
- Code for Diff-SCM paper☆101Updated 2 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆31Updated 4 years ago
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆84Updated 3 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 7 years ago