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Pull requests: fastmachinelearning/qonnx
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Adding method and tests to fix resize node issue with no ROI
#236
opened Feb 14, 2026 by
rothej
Contributor
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Onnxscript implementation of BatchNormToAffine
#185
opened May 28, 2025 by
alanbacellar
Contributor
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updated inference_cost.py in order to include support for ConvTranspose
#177
opened Mar 24, 2025 by
jonGuti13
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[Opset] Increase preferred opset version to 13
#171
opened Feb 14, 2025 by
iksnagreb
Collaborator
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Added transformation to remove successive and identical
Quant nodes in the graph
#151
opened Nov 8, 2024 by
nghielme
Collaborator
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Add proper support for Binarized and binary neural nets in the QKeras converter
#141
opened Aug 29, 2024 by
jurevreca12
Collaborator
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Add input quantization qkeras converter
#138
opened Aug 26, 2024 by
jurevreca12
Collaborator
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Update qkeras converter for array and auto po2 scale
#135
opened Aug 26, 2024 by
jurevreca12
Collaborator
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Handle ExtractConvBias properly and remove unused bias Quant nodes
#122
opened Jun 24, 2024 by
joannapng
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Extension of channels last converter to models with branches
#114
opened Apr 19, 2024 by
nghielme
Collaborator
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Allow for no explicit pads in Conv layer in channel last conversion
#112
opened Apr 10, 2024 by
jmitrevs
Collaborator
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[Conv2MatMul] default pad handling for convs
#111
opened Apr 5, 2024 by
maltanar
Collaborator
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[Convert] fix dimension mismatch issue in qcdq2qonnx conversion
#91
opened Dec 6, 2023 by
maltanar
Collaborator
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