Skip to main content

A Python algorithms used to perform machine learning.

Project description

TearDrop

TearDrop project contains useful algorithms and models for machine learning. You can find here models for deep learning (Working on optimization), supervised learning and unsupervised learning (soon). For the documentation click here.

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

teardrop-0.0.1.dev2.tar.gz (11.4 kB view details)

Uploaded Source

File details

Details for the file teardrop-0.0.1.dev2.tar.gz.

File metadata

  • Download URL: teardrop-0.0.1.dev2.tar.gz
  • Upload date:
  • Size: 11.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.4

File hashes

Hashes for teardrop-0.0.1.dev2.tar.gz
Algorithm Hash digest
SHA256 0a8c44199553f95a8578baebe66d845468f0f346826455e26d97b362c1976e23
MD5 bc815b3894fd010c0a16d42e2c124741
BLAKE2b-256 81042e767324ab0dab338bf199db1f04c01897c85b7072f1fb884e79a98f20d5

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