YangLabHKUST / DGLSB
Deep Generative Learning via Schrödinger Bridge
☆22Updated 3 years ago
Alternatives and similar repositories for DGLSB:
Users that are interested in DGLSB are comparing it to the libraries listed below
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆23Updated last year
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆82Updated 3 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- [ICML2022] Variational Wasserstein gradient flow☆22Updated 2 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 2 years ago
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆163Updated 3 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.☆17Updated 2 years ago
- Code release for "Stochastic Optimal Control Matching"☆33Updated 8 months ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆59Updated 2 years ago
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆35Updated 5 months ago
- ☆23Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 9 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆40Updated 2 years ago
- A minimalist implementation of score-based diffusion model☆126Updated 3 years ago
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆39Updated 8 months ago
- ☆32Updated 10 months ago
- ☆13Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 6 months ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- ☆17Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆154Updated 2 months ago
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆61Updated 2 years ago
- ☆28Updated last year
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated last month
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 7 months ago
- Implementation of Action Matching☆41Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆143Updated 3 years ago