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Library of ML&DL algorithms in raw python/numpy tested against SKLearn and Tensorflow. Object oriented, vectorized, typed. Based on Andrew NG's ML course.

active 2023-09-232024-01-23 (UTC)

Complete coverage26,651 / 26,651 hourly files (100%) · 2 absent upstream2023-08-152026-08-29 (UTC)
Events
33
Pushes
8
Pull requests
6
Issues
3
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 123 days from 2023-09-23 to 2024-01-23. Pushes: 8 total, peak 2 in a day. Pull requests: 6 total, peak 3 in a day. Issues: 3 total, peak 3 in a day. Comments: 11 total, peak 5 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
emirkmo19862
github-actions[bot]9009

Recent activity

Latest issues, pull requests and releases

  • Issue#22emirkmo2024-01-23 08:07
    Add backprop and a model training-evaluation loop for Neural Nets.
  • Issue comment#13emirkmo2024-01-23 08:06
    Implement NeuralNet as Sequence of Layers with Activation functions.
  • Issue#13emirkmo2024-01-23 08:06
    Implement NeuralNet as Sequence of Layers with Activation functions.
  • Issue comment#9emirkmo2024-01-23 08:05
    Auto update coverage badge
  • Issue#9emirkmo2024-01-23 08:05
    Auto update coverage badge
  • Pull request#21emirkmo2024-01-22 18:17
  • Issue comment#21github-actions[bot]2024-01-22 18:16
    Update README.md
  • Pull request#21emirkmo2024-01-22 18:15
  • Pull request#20emirkmo2024-01-22 17:50
  • Issue comment#20github-actions[bot]2024-01-21 17:20
    Finish course & add Reinforcement learning
  • Pull request#20emirkmo2024-01-21 17:19
  • Pull request#19emirkmo2023-11-19 09:35
  • Issue comment#19github-actions[bot]2023-11-19 09:34
    Add Course 3 notes and code
  • Pull request#19emirkmo2023-11-19 09:32

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.