CL
VHellendoorn/Code-LMs
Guide to using pre-trained large language models of source code
1.8k 264 +0/wk
GitHub
deep-learning gpt-2 source-code
Trend
0
Star & Fork Trend (22 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
VHellendoorn/Code-LMs has +0 stars this period . 7-day velocity: -0.1%.
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Signal-backed technical analysis will be available soon.
| Metric | Code-LMs | Machine-Learning-Flappy-Bird | continual-learning | Gen.jl |
|---|---|---|---|---|
| Stars | 1.8k | 1.8k | 1.8k | 1.8k |
| Forks | 264 | 392 | 344 | 163 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | JavaScript | Jupyter Notebook | Julia |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | Apache-2.0 |
Capability Radar vs Machine-Learning-Flappy-Bird
Code-LMs
Machine-Learning-Flappy-Bird
Maintenance Activity 0
Last code push 641 days ago.
Community Engagement 72
Fork-to-star ratio: 14.3%. 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.