Keras implementation of Deep Wasserstein Embeddings
☆48Apr 15, 2018Updated 8 years ago
Alternatives and similar repositories for Learning-Wasserstein-Embeddings
Users that are interested in Learning-Wasserstein-Embeddings are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the re…☆22Jan 31, 2020Updated 6 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
- Optimal transport transforms☆23Jul 10, 2018Updated 7 years ago
- Code accompanying our paper at AISTATS 2020☆21Jan 12, 2021Updated 5 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Jan 22, 2020Updated 6 years ago
- 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.
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Jul 22, 2020Updated 5 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Jun 14, 2019Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆92Jun 6, 2018Updated 7 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Sep 25, 2019Updated 6 years ago
- The Linear Optimal Transport Framework☆16Oct 7, 2020Updated 5 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆60Aug 16, 2018Updated 7 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆449May 14, 2018Updated 7 years ago
- Learning neural network embeddings in hyperbolic spaces☆14Dec 4, 2019Updated 6 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Jan 22, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Alignment between clustered datasets via hierarchical Wasserstein distance☆38Sep 26, 2023Updated 2 years ago
- Evaluating Durability: Benchmark Insights into Multimodal Watermarking☆12Jun 7, 2024Updated last year
- Optimal Spectral Transportation : audio musical unmixing using optimal transport☆26Apr 24, 2025Updated last year
- Implementation of DeepJDOT in Keras☆63Jul 16, 2019Updated 6 years ago
- ☆10Jun 22, 2022Updated 3 years ago
- Fast optimal transport code☆62Apr 25, 2020Updated 6 years ago
- ☆19Oct 3, 2023Updated 2 years ago
- Official repository of "Minibatch optimal transport distances; analysis and applications" (https://arxiv.org/pdf/2101.01792.pdf)☆10Oct 15, 2021Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Sep 24, 2018Updated 7 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.
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Dec 8, 2022Updated 3 years ago
- Code for NeurIPS 2019 paper "Screening Sinkhorn Algorithm for Regularized Optimal Transport"☆10Feb 10, 2020Updated 6 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- ☆11Apr 16, 2020Updated 6 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆11Nov 14, 2017Updated 8 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Jul 15, 2016Updated 9 years ago
- Source code for "Continuous Regularized Wasserstein Barycenters" [NeurIPS 2020].☆16Nov 4, 2020Updated 5 years ago
- ☆14Mar 25, 2023Updated 3 years ago
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆11Aug 21, 2023Updated 2 years ago
- 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.
- Python scripts to facilitate easy working☆11Mar 23, 2026Updated last month
- ☆16May 23, 2018Updated 7 years ago
- ☆11Oct 9, 2021Updated 4 years ago
- Reimplementation of Wasserstein Auto Encoder (WAE) with Wasserstein GAN based penalty D_Z in Tensorflow☆12Mar 28, 2019Updated 7 years ago
- Jax-based MaxEnt☆17Nov 24, 2019Updated 6 years ago
- J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré. Iterative Bregman Projections for Regularized Transportation Problems. SIAM Jour…☆33Jan 7, 2017Updated 9 years ago
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago