cscarv / riemannian-metric-learning-otLinks
☆17Updated 2 years ago
Alternatives and similar repositories for riemannian-metric-learning-ot
Users that are interested in riemannian-metric-learning-ot are comparing it to the libraries listed below
Sorting:
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆45Updated 3 years ago
- ☆20Updated 9 months ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆27Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated last year
- ☆31Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- ☆17Updated 3 years ago
- CO-Optimal Transport☆42Updated 5 years ago
- Learning the optimal transport map via input convex neural neworks☆42Updated 5 years ago
- ☆27Updated 2 years ago
- Transformers with doubly stochastic attention☆49Updated 3 years ago
- Implementation of Action Matching☆48Updated 2 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- ☆34Updated 3 months ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆14Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆25Updated 2 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60Updated 3 years ago
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 3 years ago
- ☆13Updated 2 years ago
- ☆37Updated 5 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- ☆39Updated 3 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆27Updated 2 years ago
- ☆24Updated 3 years ago
- ☆18Updated last year
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆56Updated 3 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆39Updated 3 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆27Updated last year