pytorch-cpp

Why we included this project

Most deep learning tutorials assume you are comfortable in Python, which is a problem if your daily work is C++. This repo translates a well-known PyTorch tutorial progression into C++ code built on LibTorch, moving from tensor basics and linear regression through convolutional and recurrent networks, GANs, and on to variational autoencoders and neural style transfer. Each example is its own buildable CMake target, so you can compile a single tutorial without building the rest, which keeps the learning curve from getting steep. The structure deliberately follows the classic Python tutorials it is based on, so the material feels familiar even where the C++ idioms are new. It is a practical fit for C++ engineers picking up deep learning and for teams shifting training or inference work toward the C++ side of the PyTorch ecosystem.