semvec/pypi-packages huggingface dataset:
torch-tools 0.1.5
A library of helpers to train, evaluate and visualize deep nets with PyTorch.
License: MIT

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.