ONNX support
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
No files, tests, or entry points are named. Start by surveying the project structure and its existing TensorFlow and Core ML support, then determine where ONNX integration belongs and how support would be tested; done means the intended ONNX model workflow is defined and works.
Written by the indexing model from the issue text.
Description
Adding ONNX to the project would be great, as these models can run everywhere and are very performant and optimized
- Dominant language
- Python
- Stars
- 13
- Forks
- 3
- PR merge metrics
- No merged PRs in 30d
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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