Pytorch Cpp: LibTorch Implementations of CNN, RNN, and GAN Tutorials

Authored by prabhuomkar and updated in August 2025, this repository contains C++ source code for PyTorch tutorials. It provides implementations for tensors, autograd, and neural network architectures including CNNs and RNNs using the LibTorch library.

Use Cases

• Implementing autograd logic in C++ for performance-critical applications
• Loading and executing scriptmodule-files for model inference in C++
• Building convolutional-neural-network layers using the LibTorch C++ API

Strengths

• MIT license allows for unrestricted modification and redistribution
• Includes scriptmodule-files for model serialization and deployment
• Covers diverse architectures including GANs, CNNs, and RNNs

Limitations

• Contains code implementations rather than raw training data
• Requires local installation of LibTorch and C++ compilers

Provenance

Source

prabhuomkar (GitHub)

Collection Method

Manual implementation

Freshness

Last updated August 2025