facebookresearch / w2ot
Euclidean Wasserstein-2 optimal transportation
☆47Updated last year
Alternatives and similar repositories for w2ot:
Users that are interested in w2ot are comparing it to the libraries listed below
- ☆53Updated 9 months ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆40Updated 2 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- ☆32Updated 11 months ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 3 years ago
- ☆17Updated last year
- Code release for "Stochastic Optimal Control Matching"☆33Updated 8 months ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Implementation of Action Matching☆41Updated last year
- ☆38Updated 4 years ago
- ☆30Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- [ICLR 2022] Path integral sampler☆46Updated last year
- Squared Non-monotonic Probabilistic Circuits☆22Updated 3 months ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆44Updated 2 years ago
- Convex potential flows☆83Updated 3 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated 9 months ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- ☆52Updated 2 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 7 months ago
- ☆64Updated last year
- ☆49Updated 4 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- ☆50Updated 4 years ago