This is the Linux app named pytorch-cpp whose latest release can be downloaded as PyTorch2.8.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named pytorch-cpp with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
pytorch-cpp
DESCRIPTION
C++ Implementation of PyTorch Tutorials for Everyone. This repository provides tutorial code in C++ for deep learning researchers to learn PyTorch (i.e. Section 1 to 3) Interactive Tutorials are currently running on LibTorch Nightly Version. Libtorch only supports 64bit Windows and an x64 generator needs to be specified. Create all required script module files for pre-learned models/weights during the build. Requires installed python3 with PyTorch and torch-vision. You can choose to only build tutorials in one of the categories basics, intermediate, advanced or popular. You can build and run the tutorials (on CPU) in a Docker container using the provided Dockerfile and docker-compose.yml files.
Features
- Interactive Tutorials
- Generative Adversarial Networks
- Feedforward Neural Network
- Bidirectional Recurrent Neural Network
- Variational Auto-Encoder
- Deep Learning with PyTorch
Programming Language
C++
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/pytorch-cpp.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.