Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities
☆22Apr 13, 2024Updated 2 years ago
Alternatives and similar repositories for ksddescent
Users that are interested in ksddescent are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution.☆11Sep 19, 2025Updated last year
- ☆11Mar 28, 2026Updated 7 months ago
- Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".☆19Feb 22, 2024Updated 2 years ago
- Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching☆11Jun 4, 2025Updated last year
- Fast Laplacian estimation☆17May 31, 2024Updated 2 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.
- Transformers with doubly stochastic attention☆55Sep 14, 2022Updated 4 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆206Apr 24, 2024Updated 2 years ago
- Universal Neural Optimal Transport☆13Jul 29, 2025Updated last year
- ☆34May 31, 2019Updated 7 years ago
- Minimalistic implementation of Naiad paper "A Timely Dataflow System" in Scala☆12Jul 13, 2020Updated 6 years ago
- ☆14Dec 10, 2024Updated last year
- orbital MCMC☆10Jun 17, 2021Updated 5 years ago
- projected Stein variational gradient descent☆12Oct 2, 2021Updated 5 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆50Mar 13, 2023Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Oct 18, 2019Updated 7 years ago
- Stochastic Deep Networks☆17Jun 6, 2019Updated 7 years ago
- A Python library for variational inference with normalizing flow and annealing☆15Mar 13, 2025Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆43May 8, 2022Updated 4 years ago
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Sep 29, 2021Updated 5 years ago
- ☆16May 2, 2023Updated 3 years ago
- Meta Optimal Transport☆108May 25, 2023Updated 3 years ago
- SWOT-Flow official paper implementation☆10Jul 26, 2022Updated 4 years ago
- Source code of our ICML 2025 paper "Flowing Datasets with Wasserstein over Wasserstein Gradient Flows"☆21May 21, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Object oriented toolbox for data management, graphics and econometrics.☆10Nov 23, 2024Updated last year
- code submission to NeurIPS2019☆13Aug 9, 2023Updated 3 years ago
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆25Aug 23, 2023Updated 3 years ago
- Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.☆13Aug 11, 2022Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆46Oct 8, 2020Updated 6 years ago
- Julia Implementation of the nonintrusive model reduction approaches: Operator Inference (OpInf) and Lift & Learn (LnL)☆11Oct 18, 2026Updated 2 weeks ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Mar 3, 2020Updated 6 years ago
- ☆13Feb 4, 2025Updated last year
- Laplace HypoPINN: Physics-informed neural networks for travel-time inversion, hypocenter localization and local network-weight uncertaint…☆18Oct 18, 2026Updated 2 weeks ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Dec 19, 2025Updated 10 months ago
- Neural Arithmetic Logic Units by Trask et al.☆12Apr 10, 2019Updated 7 years ago
- [ECCV 2024] The Official implementation for 'Efficient Few-Shot Action Recognition via Multi-Level Post-Reasoning'.☆14Oct 18, 2024Updated 2 years ago
- ☆11Oct 20, 2026Updated 2 weeks ago
- Lectures on Stochastic Thermodynamics (Chem220b)☆13May 4, 2023Updated 3 years ago
- A GPU-accelerated image generation toolkit for building image tiles and MRF files on-demand from Earth science data☆15Oct 5, 2023Updated 3 years ago
- Real time python demonstrations for machine learning, image and signal processing☆29Oct 6, 2026Updated last month