A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
MIT License
Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.
A tiny Catalyst-like experiment runner framework on top of micrograd.
A clear, concise, simple yet powerful and efficient API for deep learning.
Momentum AI course in machine learning
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs,...
Neural Networks: Zero to Hero