Skynet
A C++ library for learning neural networks with JSON configuration.
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—Overview
What is Skynet?
Skynet is a powerful and flexible deep learning framework written in C++, offering bindings for Python, C++, and C#. It allows users to define neural network architectures using JSON files, making it accessible and easy to integrate into various projects.
Key differentiator
“Skynet stands out as a lightweight, self-hosted deep learning library written in C++ with JSON configuration support, making it ideal for performance-critical applications and easy integration into existing projects.”
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Who is it for?
✓ Best for
Teams needing a lightweight, self-hosted solution for deep learning in C++ environments
Projects requiring high performance and low latency in neural network operations
Developers who prefer JSON-based configuration over traditional code-based setups
✕ Not a fit for
Users looking for cloud-managed services or platforms with built-in UIs
Teams that require extensive pre-built model libraries or large-scale distributed training capabilities
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Get Started with Skynet
Step-by-step setup guide with code examples and common gotchas.