LituRout / OptimalTransportModeling
Generative Modeling with Optimal Transport Maps - ICLR 2022
☆59Updated 2 years ago
Alternatives and similar repositories for OptimalTransportModeling:
Users that are interested in OptimalTransportModeling are comparing it to the libraries listed below
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- ☆61Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆35Updated 5 months ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆52Updated 2 years ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆85Updated 3 years ago
- Score-based generative models for compact manifolds☆109Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆141Updated 3 years ago
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆66Updated last year
- ☆50Updated 4 years ago
- Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"☆57Updated last year
- ☆40Updated last month
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆40Updated 2 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆34Updated 3 years ago
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆38Updated 8 months ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆60Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 8 months ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆118Updated last year
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆82Updated last month
- ☆32Updated 2 years ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆151Updated last month
- ☆17Updated 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)☆145Updated 5 years ago
- Improved diffusion generative models with subspaces☆133Updated 2 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆82Updated 3 years ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆66Updated last year
- Pytorch implementation of DGflow (ICLR 2021).☆17Updated 4 years ago