☆12Jul 25, 2024Updated 2 years ago
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 5 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
- Code for Conformal Counterfactual Inference under Hidden Confounding (KDD’24)☆11Aug 30, 2024Updated last year
- Gabriel Peyré. Entropic Approximation of Wasserstein Gradient Flows. SIAM Journal on Imaging Sciences, 8(4), pp. 2323–2351, 2015☆18Jan 7, 2017Updated 9 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Scalable framework for comparing metric measure spaces with up to 1M points.☆16Apr 6, 2021Updated 5 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆61Jul 25, 2024Updated 2 years ago
- ☆10Feb 19, 2019Updated 7 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Dec 8, 2022Updated 3 years ago
- Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants☆16Apr 23, 2026Updated 3 months ago
- Persistence Learning☆15Sep 1, 2017Updated 8 years ago
- package for ATOL: Automatic Topologically-Oriented Learning☆24Feb 24, 2025Updated last year
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆10Sep 2, 2024Updated last year
- Distributional Sliced-Wasserstein distance code☆51Jul 22, 2024Updated 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. Zero configuration with optimized deployments.
- Distributionally robust machine learning with Pytorch and Scikit-learn wrappers☆23Mar 12, 2026Updated 4 months ago
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆13Aug 5, 2022Updated 4 years ago
- ☆24Aug 15, 2023Updated 2 years ago
- WKPI: A kernel based on persistent homology☆12May 17, 2020Updated 6 years ago
- Supervised Training of Conditional Monge Maps☆20Oct 30, 2023Updated 2 years ago
- Repository for computing the probability distribution of an optimal control problem☆11Oct 4, 2021Updated 4 years ago
- IPython-based debugging and exploring - a collection of auxiliary functions☆16Sep 19, 2025Updated 10 months ago
- ☆16Sep 25, 2019Updated 6 years ago
- Code release for "MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos"(CVPR2023)☆14Dec 14, 2023Updated 2 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.
- [ECCV2024] VividDreamer: Invariant Score Distillation For Hyper-Realistic Text-to-3D Generation☆10Jul 4, 2024Updated 2 years ago
- Code for "SePPO: Semi-Policy Preference Optimization for Diffusion Alignment."☆18Oct 7, 2024Updated last year
- INTRODUCTION TO MACHINE LEARNING: An introductory practical course by Florent Krzakala and Antoine Baker☆15May 26, 2019Updated 7 years ago
- Code for the paper: Kernel Distributionally Robust Optimization☆13Feb 21, 2021Updated 5 years ago
- Analyze the dynamic stability of SGD☆13Nov 25, 2018Updated 7 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
- A PyTorch implementation of SVGD (Stein Variational Gradient Descent), contains all examples including bayesian inference in the paper☆12Jul 30, 2020Updated 6 years ago
- ☆13Jul 17, 2023Updated 3 years ago
- SVGD implementation☆12Jul 23, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Inferring and Leveraging Parts from Object Shape for Improving Semantic Image Synthesis (CVPR 2023)☆18Dec 13, 2024Updated last year
- (ECCV2026) Dual Distribution Estimation for Zero-shot Noisy Test-Time Adaptation with VLMs☆15Aug 1, 2026Updated last week
- Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.☆12Sep 7, 2022Updated 3 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
- A Python package for generating concise, high-quality summaries of a probability distribution☆64Jul 13, 2026Updated 3 weeks ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆76Aug 21, 2016Updated 9 years ago