MaximeRobeyns / bayesian_flow_networksLinks
A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).
☆29Updated 2 years ago
Alternatives and similar repositories for bayesian_flow_networks
Users that are interested in bayesian_flow_networks are comparing it to the libraries listed below
Sorting:
- This is the official code release for Bayesian Flow Networks.☆307Updated last year
- ☆31Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆71Updated 9 months ago
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆57Updated 4 months ago
- Code for the paper https://arxiv.org/abs/2205.14987v2☆57Updated last year
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆88Updated 3 years ago
- Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.☆44Updated last year
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆188Updated 4 years ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆84Updated last year
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆193Updated 10 months ago
- ☆128Updated last year
- Educational implementation of the Discrete Flow Matching paper☆127Updated last year
- A demo shows how to combine Langevin dynamics with score matching for generative models.☆42Updated 5 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- ☆13Updated 2 years ago
- Improved diffusion generative models with subspaces☆135Updated 3 years ago
- Implementation of Action Matching☆49Updated 2 years ago
- ☆200Updated last year
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆69Updated 10 months ago
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆30Updated 10 months ago
- Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"☆41Updated last year
- Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]☆17Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆67Updated 8 months ago
- Code for the paper https://arxiv.org/abs/2402.04997☆102Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆66Updated last year
- Stochastic Normalizing Flows☆78Updated 4 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated 2 years ago
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆35Updated last year
- Code release for "Stochastic Optimal Control Matching"☆39Updated last year