micrograd, but in C++ and better
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Updated
Nov 10, 2023 - C++
micrograd, but in C++ and better
Build Dynamic Neural Networks in Wirikuta, an Automatic Differentiation via Jacobian-Vector-Product Backpropagation Engine.
A templated extendible modular automatic gradient and neural network library in C++
An automatic differentiation library written in C++ and CUDA
A crude implementation of Pytorch's Tensor class.
small autograd engine built from scratch in modern C++
Lightweight automatic differentiation and error propagation library
The people's auto-differentiation library.
A tiny Autograd engine for C++ with small neural network on top
C++ automatic differentiation library with no dependencies and arbitrary higher order derivatives, stand-alone, header only
Auto-differentiation library for C++
A C++ implementation of the scalar-valued autograd engine micrograd
A light-weighted and flexible C++ differentiable programming library. Just replace float and double with it, and it does Auto-Grad for you...
European Distributed Deep Learning (EDDL) library. A general-purpose library initially developed to cover deep learning needs in healthcare use cases within the DeepHealth project.
A Tensor Library written in C++.
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