I built Syna to understand how modern ML frameworks like PyTorch actually work — from the ground up.
It’s a minimal, define-by-run (dynamic graph) framework inspired by DeZero, written entirely with NumPy. Unlike most libraries, Syna includes a basic reinforcement learning module right inside the same framework — no separate packages.
It’s not about speed or GPUs — it’s about clarity, simplicity, and learning the internals of machine learning. Great for students, educators, and anyone curious about what’s really happening under the hood.
GitHub: https://github.com/sql-hkr/syna
I also built a web app that visualizes how neural networks learn in real time — perfect for beginners exploring training dynamics:
GitHub: https://github.com/sql-hkr/xor Demo: https://sql-hkr.github.io/xor/
Happy hacking!