Open standard for machine learning interoperability

ai artificial-intelligence deep-learning deep-neural-networks dnn keras machine-learning ml neural-network onnx pytorch scikit-learn tensorflow
25 Open Issues Need Help Last updated: Jul 8, 2026

Open Issues Need Help

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question good first issue topic: spec clarification contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
bug topic: test good first issue contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
topic: operator good first issue topic: enhancement contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
topic: operator good first issue contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
bug topic: operator good first issue contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
topic: documentation good first issue

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
topic: operator topic: documentation good first issue topic: spec clarification contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
good first issue topic: spec clarification contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
bug topic: operator good first issue contributions welcome no-stale

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
question good first issue topic: spec clarification contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
good first issue topic: spec clarification contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
question module: spec good first issue contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
good first issue topic: enhancement module: shape inference contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
bug topic: build good first issue contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
good first issue module: reference implementation

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
bug good first issue contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
bug good first issue module: parser contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
question good first issue contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
bug good first issue contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow

AI Summary: This GitHub issue requests the consolidation of two separate Windows release pipelines, `release_win_x86_64.yml` and `release_win_aarch64.yml`, into a single GitHub Actions workflow file. The goal is to streamline the CI/CD process for Windows releases, likely by utilizing a matrix strategy to build for both architectures within one unified workflow.

Complexity: 2/5
good first issue

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
bug good first issue contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow
bug good first issue module: reference implementation contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow

AI Summary: The task is to update the ONNX Elu operator specification to support input tensors of any shape, not just 1D, as currently documented. This involves modifying the ONNX specification and potentially the associated codebase to accommodate this change.

Complexity: 4/5
topic: operator good first issue module: schema contributions welcome

Open standard for machine learning interoperability

Python
#ai#artificial-intelligence#deep-learning#deep-neural-networks#dnn#keras#machine-learning#ml#neural-network#onnx#pytorch#scikit-learn#tensorflow