MaximeRobeyns / bayesian_flow_networks
A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).
☆25Updated last year
Alternatives and similar repositories for bayesian_flow_networks:
Users that are interested in bayesian_flow_networks are comparing it to the libraries listed below
- Code for the paper https://arxiv.org/abs/2205.14987v2☆49Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆61Updated last month
- Educational implementation of the Discrete Flow Matching paper☆85Updated 7 months ago
- A demo shows how to combine Langevin dynamics with score matching for generative models.☆38Updated 4 years ago
- Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.☆24Updated 5 months ago
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆35Updated 5 months ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]☆56Updated 3 weeks ago
- Code for the paper https://arxiv.org/abs/2402.04997☆77Updated last year
- ☆32Updated 10 months ago
- ☆13Updated last year
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆163Updated 3 years ago
- Simple Guidance Mechanisms for Discrete Diffusion Models☆31Updated 4 months ago
- Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"☆38Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆40Updated last year
- Improved diffusion generative models with subspaces☆133Updated 2 years ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆154Updated 2 months ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆82Updated 2 months ago
- Collecting research materials on neural samplers with diffusion/flow models☆46Updated last month
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆67Updated last year
- Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist☆51Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆57Updated last year
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆143Updated 3 years ago
- Official Jax Implementation of MD4 Masked Diffusion Models☆75Updated last month
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆18Updated last month
- ☆141Updated last year
- [ICML2022] Variational Wasserstein gradient flow☆22Updated 2 years ago
- This is the official code release for Bayesian Flow Networks.☆272Updated 9 months ago