AP
mental2008/awesome-papers
Here are my personal paper reading notes (including machine learning systems, AI infrastructure, and other interesting stuffs).
171 10 -3/wk
GitHub
cloud-computing deep-learning gpu-virtualization machine-learning machine-learning-systems paper-list paper-notes reading-list reading-notes remote-direct-memory-access research resource-management
Trend
0
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
mental2008/awesome-papers has -3 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | awesome-papers | OpenIVS | AddaxAI | microflow-rs |
|---|---|---|---|---|
| Stars | 171 | 171 | 171 | 172 |
| Forks | 10 | 34 | 34 | 20 |
| Weekly Growth | -3 | +0 | +0 | +0 |
| Language | JavaScript | C# | Python | Rust |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs OpenIVS
awesome-papers
OpenIVS
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 29
Fork-to-star ratio: 5.8%. Lower fork ratio may indicate passive usage.
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.