facebookresearch / adjoint_samplingLinks
code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
☆99Updated last month
Alternatives and similar repositories for adjoint_sampling
Users that are interested in adjoint_sampling are comparing it to the libraries listed below
Sorting:
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆66Updated this week
- Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch☆63Updated 2 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆58Updated last year
- The Superposition of Diffusion Models Using the Itô Density Estimator☆45Updated 3 months ago
- Code repository for Trajectory Flow Matching☆69Updated 7 months ago
- Flow-matching algorithms in JAX☆97Updated 10 months ago
- Code for the paper https://arxiv.org/abs/2402.04997☆78Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆56Updated 2 months ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆36Updated 3 weeks ago
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆55Updated 3 months ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆130Updated last year
- Official Jax Implementation of MD4 Masked Diffusion Models☆106Updated 3 months ago
- code for "Riemannian Flow Matching on General Geometries".☆232Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆62Updated 3 months ago
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆155Updated last week
- Educational implementation of the Discrete Flow Matching paper☆92Updated 9 months ago
- Code release for "Stochastic Optimal Control Matching"☆35Updated 10 months ago
- ☆114Updated last year
- Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]☆67Updated 2 months ago
- Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…☆139Updated 7 months ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆49Updated 2 months ago
- ☆28Updated this week
- ☆32Updated last year
- Implementation of Action Matching☆44Updated 2 years ago
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆47Updated last month
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated 10 months ago
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆37Updated 7 months ago
- Score-based generative models for compact manifolds☆111Updated last year
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆70Updated last year
- Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.☆83Updated last year