Skip to main content

Vertez: Statify and Infer

Project description

Vertez is a cutting-edge open-source framework company dedicated to developing powerful and versatile libraries for statistical analysis, machine learning, and deep learning. We empower data scientists, researchers, and developers with a comprehensive suite of tools to drive insights and innovations in diverse domains. At Vertez, we believe in democratizing access to advanced statistical techniques and the latest advancements in artificial intelligence. Our libraries provide an intuitive and flexible platform for statistical modeling, predictive analytics, and complex data-driven decision making. With a focus on simplicity, performance, and scalability, we enable practitioners to efficiently explore, analyze, and infer from their data.

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

vertezml-0.0.18.tar.gz (7.1 kB view details)

Uploaded Source

Built Distribution

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

vertezml-0.0.18-cp311-cp311-win_amd64.whl (84.7 kB view details)

Uploaded CPython 3.11Windows x86-64

File details

Details for the file vertezml-0.0.18.tar.gz.

File metadata

  • Download URL: vertezml-0.0.18.tar.gz
  • Upload date:
  • Size: 7.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for vertezml-0.0.18.tar.gz
Algorithm Hash digest
SHA256 93f290ec1e745e0bd5656bb2126fae3fcd4fb627e8f80934c664109c12752b1f
MD5 33f6028e40ea998360fa72fdceb9f5b2
BLAKE2b-256 bb4325bec747bea96289301f7b093a2d3861a76fd819352e1e458d40a9f49275

See more details on using hashes here.

File details

Details for the file vertezml-0.0.18-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: vertezml-0.0.18-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 84.7 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for vertezml-0.0.18-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 f581abf7ded37a21bcb9935e4df41c5e3e6a1e2039e882d07e720c9e1e6d8418
MD5 730e1552f755f242c7f90f97d5a9db64
BLAKE2b-256 db929c31f0f7825386cd56b8490ec5556945a3fe8964e32c67c00108b96b7dcf

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