facebookresearch / w2ot
Euclidean Wasserstein-2 optimal transportation
☆45Updated last year
Alternatives and similar repositories for w2ot:
Users that are interested in w2ot are comparing it to the libraries listed below
- ☆53Updated 7 months ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- [ICLR 2022] Path integral sampler☆45Updated last year
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 2 years ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Implementation of Action Matching☆38Updated last year
- Riemannian Convex Potential Maps☆67Updated last year
- ☆49Updated 2 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- ☆17Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆38Updated 2 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- ☆24Updated 5 months ago
- Code release for "Stochastic Optimal Control Matching"☆30Updated 6 months ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆44Updated last year
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆21Updated 11 months ago
- ☆32Updated 9 months ago
- ☆64Updated last year
- ☆31Updated 4 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 2 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- ☆49Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆23Updated last year
- Learning the optimal transport map via input convex neural neworks☆41Updated 4 years ago