Quick start Requirements You will need the following whether you plan to use the toolbox only or to retrain the models. Python 3.7. Python 3.6 might work too, but I wouldn't go lower because I make extensive use of pathlib. Run pip install -r requirements.txt to install the necessary packages. Additionally you will need PyTorch (>=1.0.1). A GPU is mandatory, but you don't necessarily need a high tier GPU if you only want to use the toolbox. Pretrained models Download the latest here. Preliminary Before you download any dataset, you can begin by testing your configuration with: python demo_cli.py If all tests pass, you're good to go. Datasets For playing with the toolbox alone, I only recommend downloading LibriSpeech/train-clean-100. Extract the contents as <datasets_root>/LibriSpeech/train-clean-100 where <datasets_root> is a directory of your choosing. Other datasets are supported in the toolbox, see here. You're free not to download any dataset, but then you will need your own data as audio files or you will have to record it with the toolbox. Toolbox You can then try the toolbox: python demo_toolbox.py -d <datasets_root> or python demo_toolbox.py depending on whether you downloaded any datasets. If you are running an X-server or if you have the error Aborted (core dumped), see this issue. Wiki How it all works (WIP - stub, you might be better off reading my thesis until it's done) Training models yourself Training with other data/languages (WIP - see here for now) TODO and planned features

A repository for on the go revision of PyTorch Library

No description available

Simple PyTorch neural network that makes predictions for Google Quickdraw images, though I only used 4 random ones

Get going with pytorch and other useful frameworks quickly!