corgi
A neural network, and tensor dynamic automatic differentiation implementation for Rust. (by patricksongzy)
autograd-rs
An autograd implementation in Rust (by gursi26)
| corgi | autograd-rs | |
|---|---|---|
| 2 | 1 | |
| 23 | 0 | |
| - | - | |
| 4.4 | 6.9 | |
| 3 months ago | over 1 year ago | |
| Rust | Rust | |
| MIT License | MIT License |
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.
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.
-
Corgi: Rust neural network/dynamic automatic differentiation library I have been working on
Fully-connected neural network: https://github.com/patricksongzy/corgi/blob/main/src/dense.rs
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[P] Corgi: Rust neural network/dynamic automatic differentiation library I have been working on
Github: https://github.com/patricksongzy/corgi
autograd-rs
Posts with mentions or reviews of autograd-rs.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing corgi and autograd-rs you can also consider the following projects:
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
miniboosts - A collection of boosting algorithms written in Rust 🦀
DiffSharp - DiffSharp: Differentiable Functional Programming
tch-rs - Rust bindings for the C++ api of PyTorch.
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