GavinKerrigan / functional_diffusionLinks
☆26Updated 2 years ago
Alternatives and similar repositories for functional_diffusion
Users that are interested in functional_diffusion are comparing it to the libraries listed below
Sorting:
- ☆206Updated last year
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆84Updated last year
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆88Updated 3 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆71Updated 10 months ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆199Updated 11 months ago
- Score-based generative models for compact manifolds☆119Updated 2 years ago
- ☆32Updated last year
- Neural Diffusion Processes☆82Updated last year
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆191Updated 4 years ago
- Implementation of Action Matching☆51Updated 2 years ago
- code for "Riemannian Flow Matching on General Geometries".☆284Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆42Updated 3 years ago
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆160Updated 9 months ago
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆79Updated 2 years ago
- [ICML2022] Variational Wasserstein gradient flow☆24Updated 3 years ago
- A simple pytorch implementation of Langevin Monte Carlo algorithms.☆53Updated 5 years ago
- ☆25Updated 3 years ago
- ☆39Updated last week
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated 2 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆54Updated 3 years ago
- ☆33Updated 2 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆82Updated 9 months ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆50Updated 7 months ago
- Official codebase for "Score-based Diffusion Models in Function Space"☆17Updated last year
- A Tutorial for Diffusion Models☆60Updated 2 years ago
- ☆55Updated 3 years ago
- PyTorch implementation of Variational Diffusion Models.☆105Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆153Updated 4 years ago
- JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".☆38Updated 10 months ago
- InverseBench (ICLR 2025 spotlight)☆97Updated 3 months ago