Metadata-Version: 2.1
Name: torch-tools
Version: 0.0.2
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
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
Requires-Dist: torch
Requires-Dist: tqdm
Requires-Dist: numpy
Requires-Dist: torchvision
Requires-Dist: coloredlogs
Requires-Dist: visdom

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``


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.


