DE
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
8.0k 2.2k +0/wk
GitHub
autoint click-through-rate ctr deep-learning deepcross deepfm deepinterestevolutionnetwork deepinterestnetwork dien din esmm factorization-machines
Trend
0
Star & Fork Trend (22 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
shenweichen/DeepCTR has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | DeepCTR | Machine-Learning-Interviews | MONAI | text_classification |
|---|---|---|---|---|
| Stars | 8.0k | 8.0k | 8.1k | 7.9k |
| Forks | 2.2k | 1.4k | 1.5k | 2.5k |
| Weekly Growth | +0 | +1 | +4 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | Apache-2.0 | MIT |
Capability Radar vs Machine-Learning-Interviews
DeepCTR
Machine-Learning-Interviews
Maintenance Activity 0
Last code push 607 days ago.
Community Engagement 100
Fork-to-star ratio: 27.9%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.