AT
ben1234560/AiLearning-Theory-Applying
快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
3.5k 479 +1/wk
GitHub
ai bert dataming deep-learning kaggle-competition learning-by-doing machine-learning nlp
Trend
3
Star & Fork Trend (29 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ben1234560/AiLearning-Theory-Applying has +1 stars this period . 7-day velocity: 0.0%.
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| Metric | AiLearning-Theory-Applying | scikit-llm | Bindu | PyTorch-StudioGAN |
|---|---|---|---|---|
| Stars | 3.5k | 3.5k | 3.5k | 3.5k |
| Forks | 479 | 283 | 339 | 343 |
| Weekly Growth | +1 | +0 | +31 | +0 |
| Language | Jupyter Notebook | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | NOASSERTION | NOASSERTION |
Capability Radar vs scikit-llm
AiLearning-Theory-Applying
scikit-llm
Maintenance Activity 0
Last code push 342 days ago.
Community Engagement 69
Fork-to-star ratio: 13.8%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 42
+1 stars this period — 0.03% 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.