machinestein / GNOT
Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)
☆17Updated 4 months ago
Alternatives and similar repositories for GNOT:
Users that are interested in GNOT are comparing it to the libraries listed below
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆20Updated 4 months ago
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆47Updated 5 months ago
- A repo where I play with conditional flow approaches for learning time-varying vector-fields.☆11Updated 7 months ago
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆34Updated 5 months ago
- PyTorch implementation of "Light Unbalanced Optimal Transport" (NeurIPS 2024)☆18Updated 3 weeks ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆20Updated 9 months ago
- Official PyTorch implementation for the paper Star-Shaped Denoising Diffusion Probabilistic Models☆21Updated last month
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆24Updated last year
- Code release for "Stochastic Optimal Control Matching"☆30Updated 5 months ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆35Updated 10 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆30Updated 2 years ago
- [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds☆13Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆35Updated 2 months ago
- PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)☆17Updated 3 weeks ago
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆70Updated last year
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆52Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆22Updated last year
- The aim of this repository is to test and implement Flow-Matching-based models☆64Updated this week
- ☆31Updated 7 months ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- [NeurIPS 2023] Formulating Discrete Probability Flow Through Optimal Transport☆20Updated last year
- ☆21Updated 5 months ago
- ☆18Updated last month
- Official implementation of Deep Momentum Schrödinger Bridge☆22Updated last year
- ☆20Updated 3 months ago
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆30Updated 8 months ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆77Updated 7 months ago
- Skoltech NLA 2024 course.☆22Updated last month
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆133Updated last year