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-0.0.26.tar.gz (28.6 kB view details)

Uploaded Source

Built Distribution

torch_tools-0.0.26-py3-none-any.whl (38.1 kB view details)

Uploaded Python 3

File details

Details for the file torch-tools-0.0.26.tar.gz.

File metadata

  • Download URL: torch-tools-0.0.26.tar.gz
  • Upload date:
  • Size: 28.6 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-0.0.26.tar.gz
Algorithm Hash digest
SHA256 d2dacb106f027ba0af8fb216450fa241db56f02677a4473f1dc057b8a1d88637
MD5 affdcf8b1c71a774079cb8df33318b5c
BLAKE2b-256 add26c2645387a9ffe5d9a3f492c745c7b0031b0cd2f269820d8fe16f6667146

See more details on using hashes here.

File details

Details for the file torch_tools-0.0.26-py3-none-any.whl.

File metadata

  • Download URL: torch_tools-0.0.26-py3-none-any.whl
  • Upload date:
  • Size: 38.1 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-0.0.26-py3-none-any.whl
Algorithm Hash digest
SHA256 8c2c2ab73e109c87d88fec1785586756836bf2055727402a07a12ad3e9366887
MD5 49731ede126aaf9dea65d15a2d42d141
BLAKE2b-256 0004169581abfcd8fe2f059288e5bff4088eb0776fb4167dccae19bde4c41a2e

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