audeg / StochasticOT
Stochastic Optimization for Optimal Transport
☆22Updated 8 years ago
Alternatives and similar repositories for StochasticOT:
Users that are interested in StochasticOT are comparing it to the libraries listed below
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.☆42Updated 8 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 years ago
- Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" …☆25Updated 5 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- ☆12Updated 6 years ago
- Optimal transport and generalizations☆61Updated 5 years ago
- J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré. Iterative Bregman Projections for Regularized Transportation Problems. SIAM Jour…☆32Updated 8 years ago
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 4 months ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆16Updated 5 years ago
- Code for http://proceedings.mlr.press/v80/dvurechensky18a.html☆16Updated 6 years ago
- ☆40Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Black Box Variational Inference☆14Updated 9 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆54Updated 5 years ago
- Optimal transport transforms☆22Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Optimal Transport for Dummies - Code, slides and article☆32Updated 7 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- Learning generative models with Sinkhorn Loss☆28Updated 6 years ago
- Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Alt…☆31Updated 7 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆42Updated last year
- ☆28Updated 3 years ago
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago