DownloadThis package provides some Julia implementations of algorithms for computational optimal transport, including the Earth-Mover's (Wasserstein) distance, Sinkhorn algorithm for entropically regularized optimal transport as well as some variants or extensions. Notably, OptimalTransport.jl provides GPU acceleration through CUDA.jl and NNlibCUDA.jl.
Features
- OptimalTransport.jl provides GPU acceleration through CUDA.jl and NNlibCUDA.jl
- This package is inspired by the Python Optimal Transport package
- Examples available
- Documentation available
- Optimal transport algorithms for Julia
- Provides some Julia implementations of algorithms for computational optimal transport
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow OptimalTransport.jl
You Might Also Like
Over two-thirds of people reuse passwords across sites, resulting in an increasingly insecure e-commerce ecosystem. Learn how passwordless can not only mitigate these issues but make the authentication experience delightful. Implement Auth0 in any application in just five minutes
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of OptimalTransport.jl!