Skip to main content

A library of helpers to train, evaluate and visualize deep nets with PyTorch.

Project 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

torch-tools-0.0.25.tar.gz (28.1 kB view details)

Uploaded Source

Built Distribution

torch_tools-0.0.25-py3-none-any.whl (37.6 kB view details)

Uploaded Python 3

File details

Details for the file torch-tools-0.0.25.tar.gz.

File metadata

  • Download URL: torch-tools-0.0.25.tar.gz
  • Upload date:
  • Size: 28.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.4

File hashes

Hashes for torch-tools-0.0.25.tar.gz
Algorithm Hash digest
SHA256 75d6bb2e6cb06c0e67c7bdd7dfabd4124c6cf64c9de9d8628810357b151a0501
MD5 fcb55bdcc137c9f700a8838471181a2d
BLAKE2b-256 f80aa33662256330846d9a194e1b729afc071c3dcd8a8a0edeec9accfaab6eb5

See more details on using hashes here.

File details

Details for the file torch_tools-0.0.25-py3-none-any.whl.

File metadata

  • Download URL: torch_tools-0.0.25-py3-none-any.whl
  • Upload date:
  • Size: 37.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.4

File hashes

Hashes for torch_tools-0.0.25-py3-none-any.whl
Algorithm Hash digest
SHA256 298101e6bafea81c20f61123c9003f77efeb703c842125dd690747710c8c3907
MD5 a3711cc0749886b6b5b5140a855d2126
BLAKE2b-256 44678dbd436c8cc33013691b270bf482219750c56dc1653831fe5442c45e7956

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page