ccr-cheng / statistical-flow-matchingLinks
Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.
☆28Updated 7 months ago
Alternatives and similar repositories for statistical-flow-matching
Users that are interested in statistical-flow-matching are comparing it to the libraries listed below
Sorting:
- 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
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆23Updated 8 months ago
- ☆114Updated last year
- ☆13Updated last year
- A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).☆26Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆58Updated last year
- ☆22Updated last week
- Practically and asymptotically accurate conditional sampling from diffusion generative models without conditional training☆46Updated 7 months ago
- Educational implementation of the Discrete Flow Matching paper☆92Updated 10 months ago
- ☆19Updated 4 months ago
- ☆33Updated last year
- Score-based generative models for compact manifolds☆111Updated last year
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆37Updated 7 months ago
- Aligned Diffusion Schroedinger Bridges (UAI 2023)☆32Updated last year
- Code for the paper https://arxiv.org/abs/2205.14987v2☆53Updated last year
- Official implementation of Deep Momentum Schrödinger Bridge☆26Updated last year
- ☆32Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆62Updated 3 months ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆84Updated 3 years ago
- Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…☆32Updated 8 months ago
- ☆34Updated 2 months ago
- Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"☆40Updated last year
- This is the official implementation for Equivariant Enengy-guided SDE for Inverse Molecule Design (ICLR 2023)☆47Updated last year
- ☆152Updated last year
- Code for our paper "Unlocking Guidance for Discrete State-Space Diffusion and Flow Models"☆20Updated 2 months ago
- Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"☆36Updated last year
- Simple Guidance Mechanisms for Discrete Diffusion Models☆43Updated 6 months ago
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆55Updated 3 months ago
- Code for paper: "Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design"☆53Updated last month