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NVIDIA-AI-IOT/torch2trt
An easy to use PyTorch to TensorRT converter
4.9k 699 -1/wk
GitHub
classification inference jetson-nano jetson-tx2 jetson-xavier pytorch tensorrt
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
NVIDIA-AI-IOT/torch2trt has -1 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 | torch2trt | poml | prompt-master | LLM-Engineers-Handbook |
|---|---|---|---|---|
| Stars | 4.9k | 4.9k | 4.8k | 4.9k |
| Forks | 699 | 245 | 469 | 1.2k |
| Weekly Growth | -1 | -2 | +30 | +3 |
| Language | Python | TypeScript | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | MIT |
Capability Radar vs poml
torch2trt
poml
Maintenance Activity 0
Last code push 600 days ago.
Community Engagement 72
Fork-to-star ratio: 14.4%. 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.