antonioterpin / jkonet-starLinks
JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".
☆31Updated 8 months ago
Alternatives and similar repositories for jkonet-star
Users that are interested in jkonet-star are comparing it to the libraries listed below
Sorting:
- Neural Optimal Transport with Lagrangian Costs☆60Updated 6 months ago
- Code release for "Stochastic Optimal Control Matching"☆39Updated last year
- Flow-matching algorithms in JAX☆111Updated last year
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 3 years ago
- ☆193Updated last year
- Neural Diffusion Processes☆81Updated last year
- [ICLR 2022] Path integral sampler☆52Updated 2 years ago
- [ICML2022] Variational Wasserstein gradient flow☆24Updated 3 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆39Updated 11 months ago
- ☆35Updated 8 months ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆70Updated 8 months ago
- ☆34Updated 3 months ago
- Collecting research materials on neural samplers with diffusion/flow models☆59Updated 5 months ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆87Updated 3 years ago
- ☆31Updated last year
- Implementation of Action Matching☆48Updated 2 years ago
- A comprehensive JAX/NNX library for diffusion and flow matching generative algorithms, featuring DiT (Diffusion Transformer) and its vari…☆117Updated last month
- NF-Layers for constructing neural functionals.☆91Updated last year
- ☆23Updated 2 years ago
- 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
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 3 years ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆82Updated last year
- Official implementation of Deep Momentum Schrödinger Bridge☆27Updated 2 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated last year
- Official codebase for the paper "How to build a consistency model: Learning flow maps via self-distillation" (NeurIPS 2025).☆54Updated last month
- diffusionjax is a simple and accessible diffusion models package in JAX☆48Updated 10 months ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆49Updated 5 months ago