Building blocks for invertible neural networks in the Julia programming language.

Features

  • Memory efficient building blocks for invertible neural networks
  • Hand-derived gradients, Jacobians
  • Flux integration
  • Support for Zygote and ChainRules
  • GPU support
  • Includes various examples of invertible neural networks

Project Samples

InvertibleNetworks.jl Screenshot 1

Project Activity

See All Activity >

Categories

Frameworks, Data Visualization

License

MIT License

Follow InvertibleNetworks.jl

InvertibleNetworks.jl Web Site

You Might Also Like
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of InvertibleNetworks.jl!

Additional Project Details

Programming Language

Julia

Related Categories

Julia Frameworks, Julia Data Visualization Software

Registered

2023-11-29
Report inappropriate content