Skip to main content

Lightweight pytorch time series forecasting

Project description

nnts

==============================

Neural Networks For Time Series applications

Reference Documentation


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

nnts-0.1.5.tar.gz (62.6 kB view details)

Uploaded Source

Built Distribution

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

nnts-0.1.5-py3-none-any.whl (81.3 kB view details)

Uploaded Python 3

File details

Details for the file nnts-0.1.5.tar.gz.

File metadata

  • Download URL: nnts-0.1.5.tar.gz
  • Upload date:
  • Size: 62.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.12.2 Darwin/23.3.0

File hashes

Hashes for nnts-0.1.5.tar.gz
Algorithm Hash digest
SHA256 03db3770691325aa87f862a60a723517d17506fbe4ee6f9d1bbc6ea57e2fc572
MD5 14a01460c5951b60e20c90c0f9b00727
BLAKE2b-256 0feb5887c85a84e559250513c49f1f4ebf6785ef30d7e3143e47cc603d02f893

See more details on using hashes here.

File details

Details for the file nnts-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: nnts-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 81.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.12.2 Darwin/23.3.0

File hashes

Hashes for nnts-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 e38656ab3d378ef61b7a75f4c1e42a52b075b5355234e8c2943ea74cf473260d
MD5 b2a1c5d1e66a41cf03149f28c517c76a
BLAKE2b-256 275aeabb199372d9ca9713a86f69774b0273d34e4e60fc5caab800fab478a22f

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