L2
l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust (by bilal2vec)
corgi
A neural network, and tensor dynamic automatic differentiation implementation for Rust. (by patricksongzy)
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.
L2
Posts with mentions or reviews of L2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-06.
-
Announcing Burn: New Deep Learning framework with CPU & GPU support using the newly stabilized GAT feature
this is really cool!!! btw i also made a very small toy library years ago in rust too !https://github.com/bilal2vec/L2
-
Corgi: Rust neural network/dynamic automatic differentiation library I have been working on
this is really cool! i wrote a library a lot like this last year (https://github.com/bilal2vec/L2) and wrote up a very WIP blog post (https://bilal2vec.github.io/blog/rust/2020/08/02/writing-a-machine-learning-library-in-rust.html) about how i made it if y'all are interested ;)
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
-
[P] Corgi: Rust neural network/dynamic automatic differentiation library I have been working on
Github: https://github.com/patricksongzy/corgi
What are some alternatives?
When comparing L2 and corgi you can also consider the following projects:
Owlyshield - Owlyshield is an EDR framework designed to safeguard vulnerable applications from potential exploitation (C&C, exfiltration and impact).
burn - Burn is a next generation Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
blindai - Confidential AI deployment with secure enclaves :lock:
autograd-rs - An autograd implementation in Rust
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn]
DiffSharp - DiffSharp: Differentiable Functional Programming