micrograd

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 🔥

A GPT built and trained in 243 lines of pure, dependency-free Python - no PyTorch, no NumPy. Based on Andrej Karpathy's microgpt, it hand-rolls autograd, attention and Adam to show how little a language model really needs.

Building Andrej Kapathy's micrograd from scratch

A lightweight autograd engine and neural network library.

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 rust implementation of Andrej Karpathy's Micrograd

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

Torch-like deep learning framework for Javascript

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.

Micrograd but in Rust

C implementation of micrograd

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

micrograd, but in C++ and better

Simple auto gradient project that supports basic operations written in C++ from scratch.

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