Energy-Guided Continuous Entropic Barycenter Estimation for General Costs (NeurIPS 2024 Spotlight)
☆14Mar 6, 2025Updated last year
Alternatives and similar repositories for EnergyGuidedBarycenters
Users that are interested in EnergyGuidedBarycenters are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of "Robust Barycenter Estimation using Semi-unbalanced Neural Optimal Transport" (ICLR 2025)☆17Jul 7, 2025Updated last year
- Pytorch implementation of "An Optimal Transport Perspective on Unpaired Image Super-Resolution" (JOTA 2025)☆14Jul 8, 2025Updated last year
- Estimating barycenters of distributions by Neural Optimal Transport (ICML 2024)☆21Mar 6, 2025Updated last year
- (ICML 2025) IBMD: Inverse Bridge Matching Distillation☆15Apr 9, 2026Updated 6 months ago
- PyTorch implementation of "Wasserstein Iterative Networks for Barycenter Estimation" (NeurIPS 2022)☆20Jul 3, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- PyTorch implementation of "Field Matching: an Electrostatic Paradigm to Generate and Transfer Data" (ICML 2025)☆21Jul 23, 2025Updated last year
- [ICML 2025] Categorical Schrödinger Bridge Matching☆22Jul 24, 2026Updated 3 months ago
- PyTorch implementation of "Light Unbalanced Optimal Transport" (NeurIPS 2024)☆22Dec 23, 2024Updated last year
- (ICLR 2026 Oral 🔥) Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)☆19Jun 24, 2026Updated 4 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆24Sep 9, 2024Updated 2 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆33Mar 21, 2024Updated 2 years ago
- Energy-guided Entropic Optimal Transport (ICLR'2024)☆15May 2, 2024Updated 2 years ago
- PyTorch implementation of "Adversarial Schrödinger Bridge Matching" (NeurIPS 2024)☆31Oct 15, 2026Updated last week
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆36Jun 17, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆24Aug 29, 2024Updated 2 years ago
- PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)☆25Dec 24, 2024Updated last year
- The materials of the Deep Generative AI Course (2022-until now).☆24Jul 25, 2026Updated 3 months ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆44Mar 11, 2024Updated 2 years ago
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆63Aug 8, 2024Updated 2 years ago
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆66Aug 9, 2024Updated 2 years ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆34Oct 3, 2023Updated 3 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆42May 8, 2022Updated 4 years ago
- Mutual information estimators and benchmarks☆14Oct 6, 2026Updated 2 weeks ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Implementation for Discrete Feynman-Kac Correctors☆14Jul 6, 2026Updated 3 months ago
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆239May 4, 2026Updated 5 months ago
- The official repository for the paper "Optimal Flow Matching: Learning Straight Trajectories in Just One Step" (NeurIPS 2024)☆119Dec 19, 2024Updated last year
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆67Feb 3, 2023Updated 3 years ago
- LaTeX-пакет для школьного морфемного анализа слов и синтаксического анализа предложений.☆12Sep 6, 2022Updated 4 years ago
- Official implementation of MINDE: Mutual Information Neural Diffusion Estimation☆24Apr 17, 2025Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆46Jun 17, 2022Updated 4 years ago
- Course on diffusion models and modern generative modeling foundations taught at the Faculty of Computer Science of HSE University☆48Jun 27, 2026Updated 4 months ago
- This is the official implementation of "FastFace: Tuning Identity Preservation in Distilled Diffusion via Guidance and Attention"☆21Jun 4, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds☆15Mar 1, 2022Updated 4 years ago
- conditional U-Net Pytorch Implementation☆11Jul 27, 2021Updated 5 years ago
- ☆19May 20, 2025Updated last year
- Pytorch Implmentation of Diffusion Bridges in Function Spaces (DBFS), NeurIPS 2024☆10Nov 21, 2024Updated last year
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆24Nov 18, 2019Updated 6 years ago
- Reinforcement Learning Algorithms☆10Nov 5, 2017Updated 8 years ago
- Official PyTorch implementation for the paper Star-Shaped Denoising Diffusion Probabilistic Models☆27Dec 11, 2024Updated last year