A C++ standalone library for machine learning
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Updated
Feb 23, 2026 - C++
A C++ standalone library for machine learning
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
C++ Implementation of PyTorch Tutorials for Everyone
🌳 An educational modern C++ deep learning framework supporting CUDA
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 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...
A header-only C++ autograd engine and neural network library inspired by Karpathy's micrograd. Learn backpropagation in modern C++17.
Auto-differentiation library for C++
An automatic differentiation library written in C++ and CUDA
ML Library from scratch with only standard libraries
micrograd, but in C++ and better
Analogue to Math and ML libraries like numpy or pytorch
A Tensor Library written in C++.
The people's auto-differentiation library.
lightweight tensor library that contains it's own autograd engine like pytorch
lamp++💡 fast and lightweight machine learning framework in cpp, supporting tensors and autograd. includes implementations of basic neural networks
Macrograd ― CUDA/C++ autograd tensor library. Inspired by micrograd. Used to train small language models.
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