Git Product home page Git Product logo

reverse-engineering-neural-networks's Introduction

Reverse Engineering Neural Networks (RENN)

build

renn is a collection of research code for reverse engineering neural networks, with a focus on using tools from dynamical systems theory.

Warning

This repo is currently under active development. Consider it an alpha release. Better documentation, tests, and more are coming! (est. Q4 2020)

Contributing

Formatting checks

Formatting checks are done via yapf, enabled automatically by 'pre-commit'. To get these up and running:

yapf:

  1. pip install yapf

pre-commit:

  1. pip install pre-commit
  2. Run pre-commit install

reverse-engineering-neural-networks's People

Contributors

nirum avatar ramasesh avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.