Skip to main content

A lightweight deep learning framework built from scratch

Project description

matrixflowers

A lightweight deep learning framework built from scratch.

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

matrixflowers-0.3.1.tar.gz (20.6 kB view details)

Uploaded Source

Built Distribution

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

matrixflowers-0.3.1-py3-none-any.whl (25.6 kB view details)

Uploaded Python 3

File details

Details for the file matrixflowers-0.3.1.tar.gz.

File metadata

  • Download URL: matrixflowers-0.3.1.tar.gz
  • Upload date:
  • Size: 20.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for matrixflowers-0.3.1.tar.gz
Algorithm Hash digest
SHA256 b1974ccea14d0c137077936515fbf962ffcdc00e7d01a97381727b07f27c38d2
MD5 d52e9f232661f168ba2f9946e5d89c52
BLAKE2b-256 b080bc21372b8337324e701c26dfa9949a646cb6efedf298c29100ec0878d5a0

See more details on using hashes here.

File details

Details for the file matrixflowers-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: matrixflowers-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 25.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for matrixflowers-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 effe38c79fe00357922ed8bc2c73a2e60284aa367ca2172fc8115855967b4f21
MD5 28f268060bfbaa3124fbf8352feefe87
BLAKE2b-256 ad658e8a8d66c05f05c99a759f18e416957e6a28a55468412299f5034b5e2216

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