AH
ai-hpc/ai-hardware-engineer-roadmap
Design a custom AI inference chip. That is the goal.
54 16 +0/wk
GitHub
autonomous-driving computer-vision cuda deep-learning digital-design edge-ai embedded-linux embedded-system gpu gpu-programming hpc mlir
Trend
4
Star & Fork Trend (29 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ai-hpc/ai-hardware-engineer-roadmap has +0 stars this period . 7-day velocity: 5.9%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | ai-hardware-engineer-roadmap | CIANNA | explainable-reinforcement-learning | Udacity-Advance-Lane-detection-of-the-road |
|---|---|---|---|---|
| Stars | 54 | 54 | 54 | 54 |
| Forks | 16 | 3 | 9 | 19 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | HTML | C | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | N/A |
Capability Radar vs CIANNA
ai-hardware-engineer-roadmap
CIANNA
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 100
Fork-to-star ratio: 29.6%. 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.