jeanfeydy / global-divergences
MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
☆55Updated 5 years ago
Alternatives and similar repositories for global-divergences:
Users that are interested in global-divergences are comparing it to the libraries listed below
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Code for Sliced Gromov-Wasserstein☆67Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- ☆122Updated 2 years ago
- Code for http://proceedings.mlr.press/v80/dvurechensky18a.html☆16Updated 6 years ago
- A Python implementation of Monge optimal transportation☆49Updated last year
- ☆42Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆102Updated 6 years ago
- ☆24Updated 3 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 8 months ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆50Updated 3 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆43Updated 3 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆62Updated last year
- Scaled MMD GAN☆36Updated 5 years ago
- ☆53Updated 8 months ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆89Updated 6 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 6 years ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆28Updated 2 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆83Updated 4 years ago
- ☆53Updated 6 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 5 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago