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 rune-breaker
Stars 171 171171170
Forks 10 343447
Weekly Growth -3 +0+0+0
Language JavaScript C#PythonPython
Sources 1 111
License MIT Apache-2.0MITMIT

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.