MR
hurshd0/must-read-papers-for-ml
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
1.3k 181 +0/wk
GitHub
convolutional-networks data-analysis data-science deep-learning exploratory-data-analysis generalized-additive-models machine-learning neural-networks papers recommender-system recurrent-neural-networks rnn-lstm
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
hurshd0/must-read-papers-for-ml has +0 stars this period . 7-day velocity: -0.1%.
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| Metric | must-read-papers-for-ml | Transformer-in-Vision | smac | CORL |
|---|---|---|---|---|
| Stars | 1.3k | 1.3k | 1.3k | 1.3k |
| Forks | 181 | 142 | 236 | 164 |
| Weekly Growth | +0 | +0 | +1 | +0 |
| Language | N/A | N/A | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | MIT | Apache-2.0 |
Capability Radar vs Transformer-in-Vision
must-read-papers-for-ml
Transformer-in-Vision
Maintenance Activity 0
Last code push 859 days ago.
Community Engagement 68
Fork-to-star ratio: 13.5%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
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.