A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the results on word embeddings.
☆22Jan 31, 2020Updated 6 years ago
Alternatives and similar repositories for Learning-Embeddings-into-Entropic-Wasserstein-Spaces-ENSAE
Users that are interested in Learning-Embeddings-into-Entropic-Wasserstein-Spaces-ENSAE are comparing it to the libraries listed below
Sorting:
- Keras implementation of Deep Wasserstein Embeddings☆48Apr 15, 2018Updated 7 years ago
- Scalable framework for comparing metric measure spaces with up to 1M points.☆16Apr 6, 2021Updated 4 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Jun 14, 2019Updated 6 years ago
- ☆16May 23, 2018Updated 7 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Nov 8, 2021Updated 4 years ago
- Tensorflow implementation of optimal transport (OT) with Sinkhorn algorithm.☆19Nov 5, 2019Updated 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
- ☆23Jul 23, 2021Updated 4 years ago
- Jupyter Notebook Praktikum Projects. This is repository with data analyst educational projects from Yandex.Praktikum.☆12Feb 21, 2021Updated 5 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆33Jul 15, 2016Updated 9 years ago
- Word Mover's Distance (WMD) in Python☆36Aug 16, 2017Updated 8 years ago
- A Python implementation of the Hopfield network used to solve the traveling salesman problem☆10Apr 11, 2019Updated 6 years ago
- Information geometry and its extension information topology☆11Dec 2, 2017Updated 8 years ago
- Coding utilities for quantitative legal studies