facebookresearch / lagrangian-otLinks
Neural Optimal Transport with Lagrangian Costs
☆60Updated 5 months ago
Alternatives and similar repositories for lagrangian-ot
Users that are interested in lagrangian-ot are comparing it to the libraries listed below
Sorting:
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆49Updated 4 months ago
- JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".☆31Updated 7 months ago
- ☆34Updated 3 months ago
- NF-Layers for constructing neural functionals.☆91Updated last year
- ☆23Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆51Updated 3 years ago
- Flow-matching algorithms in JAX☆106Updated last year
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆49Updated 6 months ago
- Neural Diffusion Processes☆81Updated last year
- Denoising Hamiltonian Network for Physical Reasoning☆41Updated 7 months ago
- ☆36Updated 4 years ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆83Updated last year
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆81Updated 6 months ago
- Code release for "Stochastic Optimal Control Matching"☆38Updated last year
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- Official implementation of Deep Momentum Schrödinger Bridge☆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
- ☆12Updated last year
- ☆31Updated last year
- code for "Riemannian Flow Matching on General Geometries".☆269Updated last year
- ☆13Updated 2 years ago
- LieTransformer: Equivariant Self-Attention for Lie Groups☆74Updated last year
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 5 years ago
- [NeurIPS 2025] Official repository for "Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling"☆174Updated 3 weeks ago
- Modern Fixed Point Systems using Pytorch☆122Updated 2 years ago
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆48Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Code for the paper: Rotating Features for Object Discovery☆53Updated last year
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆30Updated last year
- Meta Optimal Transport☆104Updated 2 years ago