An AI-powered platform for advancing deep learning research and applications, developed by DeepTrackAI.

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT
  • Author: Benjamin Midtvedt, Jesus Pineda, Henrik Klein Moberg, Harshith Bachimanchi, Carlo Manzo, Giovanni Volpe
  • Tags AI, Deep Learning, Machine Learning, Data Science, Research Platform, Artificial Intelligence, Technology
  • Requires: Python >=3.8

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 BenjaminMidtvedt from gravatar.com BenjaminMidtvedt

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT
  • Author: Benjamin Midtvedt, Jesus Pineda, Henrik Klein Moberg, Harshith Bachimanchi, Carlo Manzo, Giovanni Volpe
  • Tags AI, Deep Learning, Machine Learning, Data Science, Research Platform, Artificial Intelligence, Technology
  • Requires: Python >=3.8

Release history Release notifications | RSS feed

0.1.1

0.1.0

This version

0.0.7

0.0.6

0.0.4

0.0.3

0.0.2

Download files

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

Source Distribution

deeplay-0.0.7.tar.gz (64.9 kB view details)

Uploaded Source

Built Distribution

deeplay-0.0.7-py3-none-any.whl (103.0 kB view details)

Uploaded Python 3

File details

Details for the file deeplay-0.0.7.tar.gz.

File metadata

  • Download URL: deeplay-0.0.7.tar.gz
  • Upload date:
  • Size: 64.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.10

File hashes

Hashes for deeplay-0.0.7.tar.gz
Algorithm Hash digest
SHA256 281fda734c65a50f1e2b59fcd8375a78bdcb481de78ed500874eca29fbbc57d1
MD5 97eefd6bf4b5aae8e8d4c9cec6629317
BLAKE2b-256 1119f227df5dc245ed328ce7b1a759fa4469c770478a716f0be87043fe57882c

See more details on using hashes here.

File details

Details for the file deeplay-0.0.7-py3-none-any.whl.

File metadata

  • Download URL: deeplay-0.0.7-py3-none-any.whl
  • Upload date:
  • Size: 103.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.10

File hashes

Hashes for deeplay-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 717104b3364698a8530a24481fe9a4250573f623a589c785e9ad4c26f7a90b24
MD5 147dcfaa745fc933c1ad5b6497b858e5
BLAKE2b-256 a6bf75229389524cca0bbb2a969e043f06f502446b435a9ade87e82f00e1b973

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