Skip to main content

A package to implement and extend the methods desribed in 'Omnidirectional Transfer for Quasilinear Lifelong Learning'

Project description

ProgLearn

DOI Build Status Codecov PyPI version arXiv License Netlify Status Downloads

ProgLearn (Progressive Learning) is a package for exploring and using progressive learning algorithms developed by the neurodata group.

Some system/package requirements:

  • Python: 3.6+
  • OS: All major platforms (Linux, macOS, Windows)
  • Dependencies: tensorflow, scikit-learn, scipy, numpy, joblib

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

proglearn-0.0.7.tar.gz (21.0 kB view details)

Uploaded Source

Built Distribution

proglearn-0.0.7-py3-none-any.whl (27.2 kB view details)

Uploaded Python 3

File details

Details for the file proglearn-0.0.7.tar.gz.

File metadata

  • Download URL: proglearn-0.0.7.tar.gz
  • Upload date:
  • Size: 21.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.5

File hashes

Hashes for proglearn-0.0.7.tar.gz
Algorithm Hash digest
SHA256 9354f300ccb1e7b9c5d771e553edb4c6866a94dbfb4220ef1227da11235b16ed
MD5 b821be9f35d79502975ad1bc46ef69c2
BLAKE2b-256 06bd8dd7ceea03602a50329657af661b8af4806bf78e48c5cc908c4e9b52e3c8

See more details on using hashes here.

File details

Details for the file proglearn-0.0.7-py3-none-any.whl.

File metadata

  • Download URL: proglearn-0.0.7-py3-none-any.whl
  • Upload date:
  • Size: 27.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.5

File hashes

Hashes for proglearn-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 c427e050a9d177339077679497ebcbe26e65b870b36877251b25ea562527e132
MD5 1ede5660b9dbdf54b6e4c8228615e6d4
BLAKE2b-256 afa3219ae8111f505bf12b98f76cd6ee48ef88c73a6cdeb49bcbe0498d95e98a

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