thibsej / unbalanced-ot-functionalsLinks
It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. It relies on a pytorch backend.
☆31Updated 2 years ago
Alternatives and similar repositories for unbalanced-ot-functionals
Users that are interested in unbalanced-ot-functionals are comparing it to the libraries listed below
Sorting:
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- ☆66Updated 5 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆47Updated 3 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 5 years ago
- ☆89Updated 3 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Updated 4 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆75Updated 5 years ago
- Quantile risk minimization☆24Updated last year
- Robust Optimal Transport code☆43Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 4 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆76Updated 4 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- ☆12Updated 7 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- ☆59Updated 2 years ago
- ☆53Updated 7 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago