gregversteeg / InfoDiffusionSimpleLinks
Information-theoretic diffusion, simplified code example.
☆32Updated 2 years ago
Alternatives and similar repositories for InfoDiffusionSimple
Users that are interested in InfoDiffusionSimple are comparing it to the libraries listed below
Sorting:
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆84Updated 3 years ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆150Updated 3 years ago
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆182Updated 3 years ago
- PyTorch implementation of Variational Diffusion Models.☆94Updated last year
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆148Updated 5 years ago
- ☆175Updated last year
- A demo shows how to combine Langevin dynamics with score matching for generative models.☆40Updated 4 years ago
- Regularized Neural ODEs (RNODE)☆85Updated 4 years ago
- ☆323Updated 3 years ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆178Updated 7 months ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆118Updated 2 years ago
- Code for the paper https://arxiv.org/abs/2205.14987v2☆56Updated last year
- Stochastic Normalizing Flows☆78Updated 3 years ago
- [ICML2022] Variational Wasserstein gradient flow☆24Updated 2 years ago
- The official PyTorch implementation for NCSNv2 (NeurIPS 2020)☆312Updated 4 years ago
- Code release for "Stochastic Optimal Control Matching"☆37Updated last year
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated last year
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆197Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆67Updated 6 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆65Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 2 years ago
- Score-based generative models for compact manifolds☆116Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆35Updated 3 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 3 years ago
- A Tutorial for Diffusion Models☆58Updated 2 years ago
- The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)☆365Updated 3 years ago