Skip to main content

A collection of classes and functions to automate common deep learning training patterns

Project description

https://badge.fury.io/py/labml-helpers.svg https://pepy.tech/badge/labml_helpers

LabML Helpers

This is a collection of classes and functions to automate common deep learning training patterns. This was originally part of labml, and was moved out as it grew larger.

Installation

pip install labml_helpers

Citing LabML

If you use LabML for academic research, please cite the library using the following BibTeX entry.

@misc{labml,
 author = {Varuna Jayasiri, Nipun Wijerathne},
 title = {LabML: A library to organize machine learning experiments},
 year = {2020},
 url = {https://lab-ml.com/},
}

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

labml_helpers-0.4.5.tar.gz (11.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

labml_helpers-0.4.5-py3-none-any.whl (13.7 kB view details)

Uploaded Python 3

File details

Details for the file labml_helpers-0.4.5.tar.gz.

File metadata

  • Download URL: labml_helpers-0.4.5.tar.gz
  • Upload date:
  • Size: 11.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0.post20191030 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.5

File hashes

Hashes for labml_helpers-0.4.5.tar.gz
Algorithm Hash digest
SHA256 953e18dd41f052d02ec5d97ce5a50f7f9872d2ea6ddc6bcec5bcaea4af324051
MD5 c634fe8c8de9d80837fe77761c7cfc0b
BLAKE2b-256 d13a50cdb6ade6fc158cd1caa34244328608d935d29deaaf7f3efb35b7e1e3c0

See more details on using hashes here.

File details

Details for the file labml_helpers-0.4.5-py3-none-any.whl.

File metadata

  • Download URL: labml_helpers-0.4.5-py3-none-any.whl
  • Upload date:
  • Size: 13.7 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/41.6.0.post20191030 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.5

File hashes

Hashes for labml_helpers-0.4.5-py3-none-any.whl
Algorithm Hash digest
SHA256 724693ba81a2be92928d9af9f00a4c9fcecf13a427d6902b402a30bc5ea75c50
MD5 d1726d78b2210fcf08bf0ab080fc6ed6
BLAKE2b-256 abe896873ab61e3d671a4d2f0bb03c517e065432541b31e419572d90afcb7175

See more details on using hashes here.

Supported by

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