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 3 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 6 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆50Updated 3 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- ☆68Updated 6 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Updated 3 years ago
- Code for Neural Manifold Clustering and Embedding☆62Updated 3 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- ☆88Updated 4 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 6 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆73Updated 5 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- ☆59Updated 2 years ago
- ☆12Updated 7 years ago
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆92Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89Updated 3 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆43Updated 2 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- Quantile risk minimization☆25Updated last year
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Robust Optimal Transport code☆44Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆124Updated 4 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Updated 3 years ago
- Joint distribution optimal transportation for domain adaptation☆105Updated 8 years ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 4 years ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆39Updated 5 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆147Updated 2 years ago