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:
- ☆189Updated last year
- Neural Diffusion Processes☆81Updated last year
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆188Updated 9 months ago
- ☆31Updated last year
- ☆32Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆70Updated 8 months ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆82Updated last year
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆87Updated 3 years ago
- Score-based generative models for compact manifolds☆116Updated last year
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆183Updated 4 years ago
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆79Updated 2 years ago
- code for "Riemannian Flow Matching on General Geometries".☆270Updated last year
- Official implementation of Deep Momentum Schrödinger Bridge☆27Updated 2 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated last year
- Implementation of Action Matching☆48Updated 2 years ago
- ☆24Updated 3 years ago
- Official codebase for "Score-based Diffusion Models in Function Space"☆14Updated 10 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆39Updated 3 years ago
- A Tutorial for Diffusion Models☆60Updated 2 years ago
- [ICML2022] Variational Wasserstein gradient flow☆24Updated 3 years ago
- [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"☆64Updated 2 months ago
- PyTorch implementation of Variational Diffusion Models.☆100Updated last year
- InverseBench (ICLR 2025 spotlight)☆83Updated 3 weeks ago
- Code release for "Stochastic Optimal Control Matching"☆39Updated last year
- ☆31Updated last year
- A simple pytorch implementation of Langevin Monte Carlo algorithms.☆53Updated 5 years ago
- ☆34Updated 3 months ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆49Updated 4 months ago
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆153Updated 6 months ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆151Updated 3 years ago