milesgranger/pyrus-nn
Lightweight, easy to use, micro neural network framework written in Rust w/ no python dependencies
This is a lightweight tool for developers to quickly build and experiment with basic neural networks. It takes in structured numerical data and produces predictions or classifications using a simple neural network model. Developers working on projects requiring minimal dependencies and straightforward network architectures would find this useful for rapid prototyping or embedding.
No commits in the last 6 months.
Use this if you are a developer who needs to implement a simple, fully-connected neural network without external system libraries or complex dependencies.
Not ideal if you need advanced features like convolutional layers, recurrent layers, or sophisticated optimizers beyond basic gradient descent.
Stars
17
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Language
Rust
License
MIT
Category
Last pushed
Jul 22, 2021
Monthly downloads
3
Commits (30d)
0
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