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nsoojin/coursera-ml-py
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
1.4k 488 +1/wk
GitHub
andrew-ng-course andrew-ng-machine-learning andrew-ng-ml-course anomaly-detection coursera-machine-learning logistic-regression machine-learning-ex1 neural-network numpy-exercises principal-component-analysis python-ml support-vector-machines
Trend
3
Star & Fork Trend (19 data points)
Stars
Forks
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Growth Velocity
nsoojin/coursera-ml-py has +1 stars this period . 7-day velocity: 0.1%.
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| Metric | coursera-ml-py | Transformer-in-Computer-Vision | awesome-graph-self-supervised-learning | ast |
|---|---|---|---|---|
| Stars | 1.4k | 1.4k | 1.4k | 1.4k |
| Forks | 488 | 151 | 164 | 244 |
| Weekly Growth | +1 | +1 | +0 | +0 |
| Language | Python | N/A | N/A | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | N/A | BSD-3-Clause |
Capability Radar vs Transformer-in-Computer-Vision
coursera-ml-py
Transformer-in-Computer-Vision
Maintenance Activity 0
Last code push 2044 days ago.
Community Engagement 100
Fork-to-star ratio: 33.9%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 44
+1 stars this period — 0.07% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.