CW-Huang / sdeflow-light
A minimalist implementation of score-based diffusion model
☆122Updated 3 years ago
Alternatives and similar repositories for sdeflow-light:
Users that are interested in sdeflow-light are comparing it to the libraries listed below
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆134Updated 3 years ago
- Code for the paper https://arxiv.org/abs/2205.14987v2☆46Updated 8 months ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆196Updated last year
- PyTorch implementation of Variational Diffusion Models.☆78Updated 8 months ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆80Updated 2 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆104Updated 3 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆89Updated 4 years ago
- Implementation of Flow++ in PyTorch☆41Updated 5 years ago
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆155Updated 3 years ago
- ☆49Updated 3 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆117Updated last year
- A demo shows how to combine Langevin dynamics with score matching for generative models.☆36Updated 4 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆141Updated 5 years ago
- Stochastic Normalizing Flows☆73Updated 3 years ago
- Score-based generative models for compact manifolds☆106Updated last year
- ☆210Updated last year
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆50Updated 5 months ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆84Updated 3 years ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆133Updated last year
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆83Updated 2 years ago
- ☆67Updated 2 years ago
- Official implementation of Transformer Neural Processes☆71Updated 2 years ago
- ☆121Updated 11 months ago
- [ICML2022] Variational Wasserstein gradient flow☆18Updated 2 years ago
- Discrete Normalizing Flows implemented in PyTorch☆108Updated 3 years ago
- ☆303Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆93Updated 8 months ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆54Updated 4 months ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 4 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆61Updated 2 years ago