gregversteeg / InfoDiffusionSimple
Information-theoretic diffusion, simplified code example.
☆30Updated 2 years ago
Alternatives and similar repositories for InfoDiffusionSimple:
Users that are interested in InfoDiffusionSimple are comparing it to the libraries listed below
- A minimalist implementation of score-based diffusion model☆126Updated 3 years ago
- Code for the paper https://arxiv.org/abs/2205.14987v2☆49Updated last year
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆82Updated 3 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆104Updated 3 years ago
- Code release for "Stochastic Optimal Control Matching"☆33Updated 8 months ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆143Updated 3 years ago
- Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.☆33Updated 9 months ago
- Collecting research materials on neural samplers with diffusion/flow models☆46Updated last month
- [ICML2022] Variational Wasserstein gradient flow☆22Updated 2 years ago
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆163Updated 3 years ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆154Updated 2 months ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆118Updated last year
- A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).☆25Updated last year
- ☆68Updated 2 years ago
- PyTorch implementation of Variational Diffusion Models.☆80Updated last year
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆197Updated last year
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆147Updated 5 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆55Updated 2 years ago
- Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist☆51Updated last year
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 2 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 9 months ago
- Educational implementation of the Discrete Flow Matching paper☆85Updated 7 months ago
- ☆45Updated 11 months ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆61Updated last month
- [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)☆158Updated last year
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated last month
- PyTorch implementation of diffusion models.☆59Updated 3 years ago
- ☆20Updated 2 years ago