Metadata-Version: 2.1
Name: torch-tools
Version: 0.0.30
Summary: A library of helpers to train, evaluate and visualize deep nets with PyTorch.
Home-page: https://github.com/mgharbi/ttools
Author: Michaël Gharbi
Author-email: mgharbi@adobe.com
License: MIT
Description: Readme
        ======
        
        A library of helpers for PyTorch.
        
        Michaël Gharbi <mgharbi@adobe.com>
        
        
        Installation
        ------------
        
        From pip:
        ``pip install torch-tools``
        
        From source:
        ``python setup.py install``
        
        Quickstart
        ==========
        
        To quickly get up and running, use our repo initialization script. In your command line, simple run:
        
        ``ttools.new``
        
        This will prompt you to give a name to your new project, and create the
        necessary files and folders for you.
        
        
        
        Documentation
        =============
        
        The documentation webpage can be found `here https://torch-tools.readthedocs.io/en/latest/`
        
        
        Demo
        ----
        
        For a simple demo, look at the MNIST example in `examples/train_mnist.py`:
        
        ``python examples/train_mnist.py data out``
        
        
        Contributors
        ------------
        
        Dima Smirnov implemented the tensorboard hooks and callbacks.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Provides-Extra: docs
Provides-Extra: tests
Provides-Extra: dev
