artix75/psyc

A C implementation of common Artificial Neural Networks

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/ 100
Emerging

This is a C library for building and training neural networks on POSIX systems (Linux, macOS). It takes in raw data and outputs trained models or predictions. Anyone who needs to integrate custom neural network models directly into C applications for tasks like image classification, natural language processing, or time series analysis would use this.

Use this if you need to build custom neural network architectures with C for high-performance applications on Linux or macOS.

Not ideal if you prefer Python-based deep learning frameworks, need GPU support (like NVIDIA CUDA) right now, or don't have C programming experience.

machine-learning-engineering deep-learning-model-development high-performance-computing predictive-modeling algorithm-implementation
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 10 / 25

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Stars

15

Forks

2

Language

C

License

BSD-3-Clause

Last pushed

Feb 27, 2026

Commits (30d)

0

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