corgi VS burn

Compare corgi vs burn and see what are their differences.

corgi

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

burn

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. (by Tracel-AI)
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corgi burn
2 2
23 4,793
- -
0.0 10.0
almost 2 years ago 6 days ago
Rust Rust
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

corgi

Posts with mentions or reviews of corgi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-06.

burn

Posts with mentions or reviews of burn. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning burn yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing corgi and burn you can also consider the following projects:

autograd-rs - An autograd implementation in Rust

DiffSharp - DiffSharp: Differentiable Functional Programming

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

dfdx - Deep learning in Rust, with shape checked tensors and neural networks

rust-mlops-template - A work in progress to build out solutions in Rust for MLOPs

cargo-leptos - Build tool for Leptos (Rust)

tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference [Moved to: https://github.com/sonos/tract]

are-we-learning-yet - How ready is Rust for Machine Learning?