Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities
☆22Apr 13, 2024Updated last year
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 6 months ago
- Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".☆20Feb 22, 2024Updated 2 years ago
- Lambert W function and Lambert W x F distributions in pytorch☆16Aug 11, 2025Updated 7 months ago
- Transformers with doubly stochastic attention☆54Sep 14, 2022Updated 3 years ago
- ☆13Dec 10, 2024Updated last year
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- Source code of our ICML 2025 paper "Flowing Datasets with Wasserstein over Wasserstein Gradient Flows"☆20May 21, 2025Updated 10 months ago
- Code for the paper: "Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows".☆12Feb 24, 2024Updated 2 years ago
- ☆33May 31, 2019Updated 6 years ago
- Minimalistic implementation of Naiad paper "A Timely Dataflow System" in Scala☆12Jul 13, 2020Updated 5 years ago
- ☆13Feb 26, 2025Updated last year
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Oct 18, 2019Updated 6 years ago
- orbital MCMC☆10Jun 17, 2021Updated 4 years ago
- Benchopt benchmark for ResNet fitting on a classification task☆12Sep 19, 2023Updated 2 years ago
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆10Sep 2, 2024Updated last year
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning☆10Dec 28, 2021Updated 4 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆41Dec 7, 2021Updated 4 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆42May 8, 2022Updated 3 years ago
- rdiv!(::AbstractMatrix, ::UpperTriangular) and ldiv!(::LowerTriangular, ::AbstractMatrix)☆12Nov 18, 2024Updated last year
- ☆23Feb 15, 2025Updated last year
- All the submission scripts used for my work on Jean Zay and the TGCC☆15Jul 17, 2023Updated 2 years ago
- PyTorch Tutorial at the LOD2021 conference☆21Oct 7, 2021Updated 4 years ago
- Pytorch implementation of OCFGAN-GP (CVPR 2020, Oral).☆15Apr 3, 2020Updated 5 years ago
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆26Aug 23, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Slice sampling algorithms in Julia☆13Mar 8, 2026Updated 2 weeks ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Dec 19, 2025Updated 3 months ago
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆47Jun 16, 2025Updated 9 months ago
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Sep 29, 2021Updated 4 years ago
- Sampling and visualising the von Mises-Fisher distribution. An important hyper-spherical distribution.☆15Jun 5, 2020Updated 5 years ago
- Unpaired Image Translation, Neurips2022☆24Mar 18, 2023Updated 3 years 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
- code submission to NeurIPS2019☆13Aug 9, 2023Updated 2 years ago
- ☆24Dec 16, 2024Updated last year
- 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.
- R Package for Spatial Conformal Prediction☆10Aug 6, 2022Updated 3 years ago
- Code for paper "Spherical space domain adaptation with pseudo label (CVPR 2020)" and "Unsupervised and Semi-supervised Robust Spherical S…☆63Jun 27, 2023Updated 2 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Apr 16, 2020Updated 5 years ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Apr 14, 2023Updated 2 years ago
- ☆36Nov 10, 2021Updated 4 years ago
- A solver for Linear Rational Expectation Models☆11Apr 30, 2024Updated last year
- Course website for Quantitative Methods for Monetary Economics☆10Sep 4, 2019Updated 6 years ago