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-0.0.34.tar.gz (30.0 kB view details)

Uploaded Source

Built Distribution

torch_tools-0.0.34-py3-none-any.whl (39.5 kB view details)

Uploaded Python 3

File details

Details for the file torch-tools-0.0.34.tar.gz.

File metadata

  • Download URL: torch-tools-0.0.34.tar.gz
  • Upload date:
  • Size: 30.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.6

File hashes

Hashes for torch-tools-0.0.34.tar.gz
Algorithm Hash digest
SHA256 b06f10f064ed7e256d22d0e07fa47029d646bc7b040855076e9a8a797f65fc5d
MD5 7cb4280cdd02b3ac8c6471f55086aa5a
BLAKE2b-256 6639d1156420b5fb40f120c769a12a5cd0baab89058ac9a782e64b83966329bc

See more details on using hashes here.

File details

Details for the file torch_tools-0.0.34-py3-none-any.whl.

File metadata

  • Download URL: torch_tools-0.0.34-py3-none-any.whl
  • Upload date:
  • Size: 39.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.6

File hashes

Hashes for torch_tools-0.0.34-py3-none-any.whl
Algorithm Hash digest
SHA256 e7df982367a0079f7cc1a2934179f4bcc879c9868eca00f3ed96b3b63f079159
MD5 34c9cc54932aba3f49b73fa05935d249
BLAKE2b-256 05f669a473deadc8c8d08ba4bc8d2cd7441ba5f837bcbda0014e428cac0e110a

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