Rotta-Rs, Deep Learning Framework in Rust Release 0.0.3
ROTTA-rs is a deep learning library in Rust focused on simplifying AI model creation. ROTTA-rs has now released version 0.0.5, adding many features, including: - RMSProp - Adam - Batch Norm - Layer Norm - and new additional features for creating tensors, mean, and simplifying tensor slicing. Version 0.0.5 also adds Dataset and DataHandler to simplify data manipulation, such as shuffling and splitting input into batches.
Rotta-Rs, Deep Learning Framework in Rust Release 0.0.3 launched on June 24, 2025 with 7 votes, #3,918 of 7,999 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
an AI library project with rust language. https://github.com/araxnoid-code/ROTTA-rs
a Deep Learning Library project with rust language - araxnoid-code/ROTTA-rs
fn main ( ) { let tensor = Tensor :: new ( [ [ 0.1 , 0.2 , 0.3 ] ] ) ; println ! ( "{}" , tensor ) ; } 📦 Version 0.1.0 see more details about what's new in: 0.1.0 🧑💻 see other versions: 📌 Check all releases: Tags 📜 Full changelog: version.md ROTTA-rs can be installed directly through crates.io . To use it: cargo add rotta_rs 🧠 Simple AI Model use rotta_rs :: * ; fn main ( ) { let mut model = Module :: init ( ) ; let optimazer = Sgd :: init ( model . parameters ( ) , 0.00001 ) ; let loss_fn = SSResidual :: init ( ) ; let linear = model . liniar_init ( 1 , 1 ) ; let linear_2 = model . liniar_init ( 1 , 1 ) ; let input = Tensor :: new ( [ [ 1.0 ] , [ 2.0 ] ] ) ; let actual = Tensor ::…from github.com
In the maker’s words, at launch
ROTTA-rs is an AI Deep Learning framework in rust that focuses on simplicity and ease, now ROTTA-rs has released version 0.0.3 with additional features and performance optimizations.
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