Skip to main content

A deep learning package for self-supervised learning

Project description

Lightly

Lightly is a PIP package for self-supervised learning.

We, at Lightly, are passionate engineers who want to make deep learning more efficient. We want to help popularize the use of self-supervised methods to understand and filter raw image data. Our solution can be applied before any data annotation step and the learned representations can be used to analyze and visualize datasets as well as for selecting a core set of samples.

If you are curious to learn more about our work - check out Lightly!

Installation

pip install lightly

Links

Release history Release notifications | RSS feed

Download files

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

Source Distribution

lightly-1.1.2.tar.gz (92.1 kB view details)

Uploaded Source

Built Distribution

lightly-1.1.2-py3-none-any.whl (193.3 kB view details)

Uploaded Python 3

File details

Details for the file lightly-1.1.2.tar.gz.

File metadata

  • Download URL: lightly-1.1.2.tar.gz
  • Upload date:
  • Size: 92.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.7.8

File hashes

Hashes for lightly-1.1.2.tar.gz
Algorithm Hash digest
SHA256 9b3b7197a6e47952d90e12e8f70ce3fa65a296440ada2868343b27b9d15b32b8
MD5 501bfa9fa04474479fee4fbf95782753
BLAKE2b-256 6c3e74c5c39f9cb3baaf1334b3d079b00bfe22361c5985471375f511f54b71aa

See more details on using hashes here.

File details

Details for the file lightly-1.1.2-py3-none-any.whl.

File metadata

  • Download URL: lightly-1.1.2-py3-none-any.whl
  • Upload date:
  • Size: 193.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.7.8

File hashes

Hashes for lightly-1.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 cf4d10c0f86f9f221a80601fc2336e8fed9b2541d6e3c80da8134b730069e76f
MD5 c128282b621e5c18346590955e097a5f
BLAKE2b-256 2382430efc9712724429a0d21049afc70810888cfc65c9371877b8e9b85987d7

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