Corgi: Rust neural network/dynamic automatic differentiation library I have been working on

This page summarizes the projects mentioned and recommended in the original post on /r/rust

Our great sponsors
  • Mergify - Updating dependencies is time-consuming.
  • SonarQube - Static code analysis for 29 languages.
  • InfluxDB - Collect and Analyze Billions of Data Points in Real Time
  • corgi

    A neural network, and tensor dynamic automatic differentiation implementation for Rust. (by patricksongzy)

    Fully-connected neural network:

  • L2

    l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust

    this is really cool! i wrote a library a lot like this last year ( and wrote up a very WIP blog post ( about how i made it if y'all are interested ;)

  • Mergify

    Updating dependencies is time-consuming.. Solutions like Dependabot or Renovate update but don't merge dependencies. You need to do it manually while it could be fully automated! Add a Merge Queue to your workflow and stop caring about PR management & merging. Try Mergify for free.

  • Java-Machine-Learning

    Deep learning library for Java, with fully connected, convolutional, and recurrent layers. Also features many gradient descent optimization algorithms.

    holyyy another '25 :o I only know one other guy who made a autograd library while in hs/first year uni ( so it is so cool to see other people doing this!!

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts