Detailed python notes & code for lectures and exercises of Andrej Karpathy's course "Neural Networks: Zero to Hero." The course is focused on building neural networks from scratch.

Implementation of Karpathy's micrograd in Mojo 🔥

Building Andrej Kapathy's micrograd from scratch

yet another scalar autograd engine - featuring complex numbers and fixed DAG

A C++ implementation of the scalar-valued autograd engine micrograd

A header-only C++ autograd engine and neural network library inspired by Karpathy's micrograd. Learn backpropagation in modern C++17.

📖 A self-contained course to learn the basics of neural networks: from backprop to GPT! 🌻

Micrograd but in Rust

C implementation of micrograd

A rust implementation of Andrej Karpathy's Micrograd

The easiest way to build Neural Networks in C# within Unity. The open-source AI project implements a scalar-valued autograd engine so you don't have to deal with backpropagation, and a Neural Network library. You can use it outside of Unity as well.

A Deep Neural network from scratch in Java

A porting of Karpathy's Micrograd to JS

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Torch-like deep learning framework for Javascript

micrograd, but in C++ and better

Small scalar autograd engine, inspired from Karpathy's micrograd, with some additional features, such as more activation functions, optimizers and loss criterions.

small (and partial) autograd engine inspired from Karpathy's micrograd and PyTorch, written in Zig

🎓 super small and cute neural net engine, using only numpy

A simple vector valued autograd engine aimed to be between micrograd and tinygrad with a nn library.