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:
- ☆20Updated 8 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆45Updated 3 years ago
- ☆31Updated last year
- Implementation of Action Matching☆46Updated 2 years ago
- Learning the optimal transport map via input convex neural neworks☆42Updated 5 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated last year
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- ☆24Updated 3 years ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆27Updated 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
- Transformers with doubly stochastic attention☆49Updated 3 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated last year
- ☆34Updated 2 months ago
- Official implementation of Deep Momentum Schrödinger Bridge☆28Updated last year
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- ☆17Updated 3 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- ☆27Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆56Updated last year
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆54Updated 2 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆38Updated 3 years ago
- Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…☆29Updated 4 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆87Updated 3 years ago
- ☆37Updated 5 years ago
- ☆13Updated 2 years ago
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆20Updated 2 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