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:
- Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".☆19Feb 22, 2024Updated 2 years ago
- Fast Laplacian estimation☆17May 31, 2024Updated 2 years ago
- 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
- ☆34May 31, 2019Updated 7 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.
- Minimalistic implementation of Naiad paper "A Timely Dataflow System" in Scala☆12Jul 13, 2020Updated 6 years ago
- ☆13Feb 26, 2025Updated last year
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆50Mar 13, 2023Updated 3 years ago
- orbital MCMC☆10Jun 17, 2021Updated 5 years ago
- 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
- 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).☆42Dec 7, 2021Updated 4 years ago
- rdiv!(::AbstractMatrix, ::UpperTriangular) and ldiv!(::LowerTriangular, ::AbstractMatrix)☆12Aug 15, 2026Updated 2 months ago
- A Python library for variational inference with normalizing flow and annealing☆15Mar 13, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- All the submission scripts used for my work on Jean Zay and the TGCC☆15Jul 17, 2023Updated 3 years ago
- A Python module for mapping multiple high-dimensional datasets into a common low-dimensional space.☆10Mar 29, 2018Updated 8 years ago
- Slice sampling algorithms in Julia☆13Sep 11, 2026Updated last month
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Sep 29, 2021Updated 5 years ago
- Pytorch implementation of OCFGAN-GP (CVPR 2020, Oral).☆15Apr 3, 2020Updated 6 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆33Jun 3, 2026Updated 4 months ago
- Reinforcement learning tutorials using the rlberry library.☆18Jan 9, 2023Updated 3 years ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Dec 19, 2025Updated 9 months ago
- ☆24Feb 15, 2025Updated last year
- 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.
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆24Aug 23, 2023Updated 3 years ago
- ☆16May 2, 2023Updated 3 years ago
- Source code of our ICML 2025 paper "Flowing Datasets with Wasserstein over Wasserstein Gradient Flows"☆21May 21, 2025Updated last year
- 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
- Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)☆23Mar 12, 2022Updated 4 years ago
- Some examples of the Python3 target.☆11Mar 30, 2019Updated 7 years ago
- ☆31Nov 15, 2022Updated 3 years ago
- ☆23Dec 16, 2024Updated last year
- ☆214Jan 31, 2022Updated 4 years 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.
- R Package for Spatial Conformal Prediction☆10Aug 6, 2022Updated 4 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Apr 16, 2020Updated 6 years ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆11Apr 14, 2023Updated 3 years ago
- Code for paper "Spherical space domain adaptation with pseudo label (CVPR 2020)" and "Unsupervised and Semi-supervised Robust Spherical S…☆62Jun 27, 2023Updated 3 years ago
- Quantification of Uncertainties in Neural Networks☆11Aug 29, 2026Updated last month
- Sampling and visualising the von Mises-Fisher distribution. An important hyper-spherical distribution.☆17Jun 5, 2020Updated 6 years ago
- Unpaired Image Translation, Neurips2022☆23Mar 18, 2023Updated 3 years ago