machine learning kit for algorithm train platform

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for horn from gravatar.com horn

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT Licence
  • Author: hornlee
  • Tags kflearn , ymm
  • Requires: Python >=3
Report project as malware

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for horn from gravatar.com horn

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT Licence
  • Author: hornlee
  • Tags kflearn , ymm
  • Requires: Python >=3

Release history Release notifications | RSS feed

This version

0.0.1

Download files

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

Source Distribution

silkynet-0.0.1.tar.gz (3.3 kB view details)

Uploaded Source

Built Distributions

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

silkynet-0.0.1-py3.8.egg (1.2 kB view details)

Uploaded Egg

silkynet-0.0.1-py3-none-any.whl (3.2 kB view details)

Uploaded Python 3

File details

Details for the file silkynet-0.0.1.tar.gz.

File metadata

  • Download URL: silkynet-0.0.1.tar.gz
  • Upload date:
  • Size: 3.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.26.0 requests-toolbelt/0.10.1 urllib3/1.26.7 tqdm/4.63.1 importlib-metadata/4.8.2 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.13

File hashes

Hashes for silkynet-0.0.1.tar.gz
Algorithm Hash digest
SHA256 7682616722e7e2bcfa6074fb0831aa76454d88ddba5a3bb2c835f82517d58940
MD5 6195b00a6bcc57db7168d475b2211468
BLAKE2b-256 907f53491d54407279765315d5470b9a4853b08053067b2a646c2f134f950e90

See more details on using hashes here.

File details

Details for the file silkynet-0.0.1-py3.8.egg.

File metadata

  • Download URL: silkynet-0.0.1-py3.8.egg
  • Upload date:
  • Size: 1.2 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.26.0 requests-toolbelt/0.10.1 urllib3/1.26.7 tqdm/4.63.1 importlib-metadata/4.8.2 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.13

File hashes

Hashes for silkynet-0.0.1-py3.8.egg
Algorithm Hash digest
SHA256 8a1a716042e27ad44ae90a250c6f1a0611902369d8560e46a26eba8200c38467
MD5 83572db6111b4b6cf1db6420aea64850
BLAKE2b-256 4bab7fb115e05d6e05c805377f7147845786b260d00df9a0105e72a7f0c9c88a

See more details on using hashes here.

File details

Details for the file silkynet-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: silkynet-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 3.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.26.0 requests-toolbelt/0.10.1 urllib3/1.26.7 tqdm/4.63.1 importlib-metadata/4.8.2 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.13

File hashes

Hashes for silkynet-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 aa719db471de2a2f66f469b43173210f5c6e66bf27b0668058c39b7dab4e6506
MD5 a9b98da2dc97475d0867408d1ff2f0dc
BLAKE2b-256 7f59e35200d468e36523930cca9a9295fd1a8813a5e8611d729931a7501be6d2

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