Skip to main content

WindML

Project description

Refreshingly Lightweight Machine Learning (using only numpy). models include conditional-character-RNN, Transformer and a Direct Feedback Alignment NN and other one-shot models like extreme learning machines or matrix factorisation retrieval-based classifiers (for a model-free alternative)

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

windML-0.3.8.tar.gz (14.1 kB view details)

Uploaded Source

Built Distribution

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

windML-0.3.8-py3-none-any.whl (23.2 kB view details)

Uploaded Python 3

File details

Details for the file windML-0.3.8.tar.gz.

File metadata

  • Download URL: windML-0.3.8.tar.gz
  • Upload date:
  • Size: 14.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for windML-0.3.8.tar.gz
Algorithm Hash digest
SHA256 0500649fed906897d69c3b35677d76f6851a4fe16880b8ec87c982efc6af5a64
MD5 ae29a7a9ee230d30cd25664c1e64dccc
BLAKE2b-256 bd1fa5c450db36fd2167302c91d023ba1b495e18d592561b0cbb920cb6e9ce0c

See more details on using hashes here.

File details

Details for the file windML-0.3.8-py3-none-any.whl.

File metadata

  • Download URL: windML-0.3.8-py3-none-any.whl
  • Upload date:
  • Size: 23.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for windML-0.3.8-py3-none-any.whl
Algorithm Hash digest
SHA256 f7ff72659a72bf194c7f269201ae2b11aff51770739c4aeb5dda201c7ab48aad
MD5 1668fcdeaca7a0eb9ab288923cabef96
BLAKE2b-256 13759580ffd7012db11b868091a878a885a337ec414e5065e8b5e3dc13d06177

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