labml-nn

v0.4.137

🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, diffusion, etc. 🧠 For more information about how to use this package see README

Latest version published 4 months ago
License: MIT

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Package Health Score

68 / 100

Popularity

Recognized
GitHub Stars
56.92K
Forks
5.83K
Contributors
40

Direct Usage Popularity


Based on project statistics from the GitHub repository for the PyPI package labml-nn, we found that it has been starred 56,920 times.

Security

Security review needed
Powered by Snyk
0.4.137 (Latest)

Security and license risk for latest version

Release Date
Aug 24, 2024
Direct Vulnerabilities
  • 0
    C
  • 0
    H
  • 0
    M
  • 0
    L
Indirect Vulnerabilities
  • 0
    C
  • 0
    H
  • 0
    M
  • 0
    L
License Risk
  • 0
    H
  • 2
    M
  • 0
    L
All security vulnerabilities belong to production dependencies of direct and indirect packages.

License
MIT

Security Policy
No

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Maintenance

Sustainable

Commit Frequency

Open Issues
28
Open PR
2
Last Release
4 months ago
Last Commit
4 months ago

Further analysis of the maintenance status of labml-nn based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that labml-nn demonstrates a positive version release cadence with at least one new version released in the past 12 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable
Readme
Yes
Contributing.md
No
Code of Conduct
No
Contributors
40
Funding
No

With more than 10 contributors for the labml-nn repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like labml-nn is missing a Code of Conduct.


Embed Package Health Score Badge

package health: 68/100 package health 68/100

Package

Python Versions Compatibility
==3.*

Age
4 years
Latest Release
4 months ago
Dependencies
6 Direct / 26 Total
Versions
80
Maintainers
0
Wheels
OS Independent