PINTO0309/onnx2tf
A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.
Star & Fork Trend (20 data points)
Multi-Source Signals
Growth Velocity
PINTO0309/onnx2tf has +0 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | onnx2tf | llms-interview-questions | practical-mlops-book | crypto-rl |
|---|---|---|---|---|
| Stars | 947 | 948 | 948 | 948 |
| Forks | 99 | 111 | 369 | 241 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | N/A | N/A |
Capability Radar vs llms-interview-questions
Last code push 8 days ago.
Fork-to-star ratio: 10.5%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.