Mitchell-Mirano/sorix
Sorix, high performance, easy to learn, fast to code, from prototype to production
Sorix helps machine learning engineers and researchers build, train, and deploy deep learning models efficiently. You provide your data and define your neural network architecture, and Sorix produces a trained model that can make predictions. It's designed for those who need to develop and manage machine learning solutions with a familiar, PyTorch-like interface.
Available on PyPI.
Use this if you need a high-performance, lightweight deep learning library for both prototyping and production, especially in environments with limited resources like serverless functions or edge devices.
Not ideal if you require extensive, out-of-the-box support for complex convolutional neural networks or a very large ecosystem of pre-built models and tools, as it is a more minimalist library.
Stars
18
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Dependencies
1
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