prabhuomkar/pytorch-cpp

What it solves

This project provides a comprehensive collection of C++ code examples that mirror popular PyTorch tutorials. It helps deep learning researchers and developers who are familiar with Python-based PyTorch transition to using LibTorch, the C++ frontend for PyTorch, for high-performance or production-ready applications.

How it works

The repository uses CMake to manage builds and LibTorch to handle deep learning operations. Users can clone the repository and build specific tutorials—ranging from basic linear regression to advanced generative models—using standard C++ build commands. The project supports automated downloading of required datasets and model weights, and it provides options for both CPU and CUDA-accelerated execution.

Who it’s for

It is designed for deep learning researchers and C++ developers who want to learn how to implement neural networks and machine learning models using the LibTorch C++ API.

Highlights

• Covers a wide range of topics including basics, neural networks (CNNs, RNNs), and advanced models like GANs and VAEs.
• Cross-platform support for Linux, macOS, and Windows.
• Flexible build system allowing users to build all tutorials, specific categories, or individual projects.
• Includes interactive tutorials via Jupyter notebooks using the xeus-cling C++ kernel.
• Provides Docker support for consistent, reproducible development environments.