☆12Jul 25, 2024Updated last year
Alternatives and similar repositories for MMD-gradient-flow
Users that are interested in MMD-gradient-flow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 4 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Jan 22, 2021Updated 5 years ago
- ☆15Mar 30, 2020Updated 6 years ago
- Gabriel Peyré. Entropic Approximation of Wasserstein Gradient Flows. SIAM Journal on Imaging Sciences, 8(4), pp. 2323–2351, 2015☆17Jan 7, 2017Updated 9 years ago
- Scalable framework for comparing metric measure spaces with up to 1M points.☆16Apr 6, 2021Updated 4 years ago
- 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.
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Jul 25, 2024Updated last year
- Persistence Learning☆15Sep 1, 2017Updated 8 years ago
- Distributional Sliced-Wasserstein distance code☆50Jul 22, 2024Updated last year
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆10Sep 2, 2024Updated last year
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆14Aug 5, 2022Updated 3 years ago
- ☆23Aug 15, 2023Updated 2 years ago
- IPython-based debugging and exploring - a collection of auxiliary functions☆16Sep 19, 2025Updated 6 months ago
- Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…☆32Dec 3, 2025Updated 3 months ago
- SVGD implementation☆12Jul 23, 2018Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago
- Repository for computing the probability distribution of an optimal control problem☆11Oct 4, 2021Updated 4 years ago
- Code for the paper: Kernel Distributionally Robust Optimization☆13Feb 21, 2021Updated 5 years ago
- Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcemen…☆32Jan 7, 2021Updated 5 years ago
- WKPI: A kernel based on persistent homology☆12May 17, 2020Updated 5 years ago
- ☆13Jul 17, 2023Updated 2 years ago
- MATLAB code for ECML 2018 paper on "Unified Framework for Domain Adaptation using Metric Learning on Manifolds"☆10Oct 14, 2018Updated 7 years ago
- Construction of control systems from predictive models via Quantization, Simulation, Modeling, Optimization☆12Sep 15, 2023Updated 2 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆75Aug 21, 2016Updated 9 years ago
- 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.
- [TMLR'25] Official implementation for "Large-Scale Targeted Cause Discovery via Learning from Simulated Data"☆26Sep 30, 2025Updated 6 months ago
- ☆26Nov 12, 2025Updated 4 months ago
- A PyTorch implementation of SVGD (Stein Variational Gradient Descent), contains all examples including bayesian inference in the paper☆12Jul 30, 2020Updated 5 years ago
- 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
- ☆26Mar 26, 2024Updated 2 years ago
- ☆25Apr 3, 2024Updated last year
- LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling☆13Mar 23, 2018Updated 8 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆33Apr 24, 2023Updated 2 years ago
- Code for ICRA 2022 paper - KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic enviro…☆14Jul 18, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆30Apr 21, 2023Updated 2 years ago
- ☆39Jul 30, 2024Updated last year
- Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354☆29Jul 14, 2021Updated 4 years ago
- Stein Variational Gradient Descent with Matrix-Valued Kernels☆13Dec 4, 2019Updated 6 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆33Nov 23, 2023Updated 2 years ago
- The companion code for the paper "Variational inference via Wasserstein gradient flows (W-VI) M. Lambert, S. Chewi, F. Bach, S. Bonnabel…☆14Feb 1, 2023Updated 3 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Nov 27, 2022Updated 3 years ago