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AspirinCode/papers-for-molecular-design-using-DL
List of Molecular and Material design using Generative AI and Deep Learning
929 117 +1/wk
GitHub
deep-generative-models diffusion drug-design energy-based-model gan generative-ai gnns lstm material-design molecular-design prompt-learning reinforcement-learning
Trend
3
Star & Fork Trend (45 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
AspirinCode/papers-for-molecular-design-using-DL has +1 stars this period . 7-day velocity: 0.3%.
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Signal-backed technical analysis will be available soon.
| Metric | papers-for-molecular-design-using-DL | Youtube-Code-Repository | awesome-sentiment-analysis | vehicle_counting_tensorflow |
|---|---|---|---|---|
| Stars | 929 | 929 | 930 | 928 |
| Forks | 117 | 495 | 162 | 362 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | N/A | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | GPL-3.0 | N/A | CC-BY-SA-4.0 | MIT |
Capability Radar vs Youtube-Code-Repository
papers-for-molecular-design-using-DL
Youtube-Code-Repository
Maintenance Activity 98
Last code push 11 days ago.
Community Engagement 63
Fork-to-star ratio: 12.6%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 46
+1 stars this period — 0.11% growth rate.
License Clarity 70
Licensed under GPL-3.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.