warg-void/Wolf

C++ Neural net Implementation (CPU)

15
/ 100
Experimental

Wolf is for developers who need to build simple neural networks directly into their C++ applications. It takes raw data and produces a trained neural network model that can make predictions. It's designed for C++ programmers who are implementing machine learning features into their software and need a fast, CPU-optimized solution.

Use this if you are a C++ developer building a software application and need to embed a lightweight, fast, CPU-based neural network for tasks like classification.

Not ideal if you need GPU acceleration, complex neural network architectures (like convolutional or recurrent networks), or prefer to work in Python or other high-level languages.

C++ development Machine learning implementation Embedded AI CPU-based analytics Software engineering
No License No Package No Dependents
Maintenance 6 / 25
Adoption 4 / 25
Maturity 5 / 25
Community 0 / 25

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Stars

8

Forks

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Language

C++

License

—

Category

lightweight-neural-networks

Last pushed

Dec 03, 2025

Commits (30d)

0

GitHub
Lightweight Neural Networks · 186 frameworks

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