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‎CallMATLABFromPythonPyTorch.mlx

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‎CallPythonTensorflowFromMATLAB.mlx

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‎LICENSE

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Copyright (c) 2021, The MathWorks, Inc.
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All rights reserved.
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Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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3. In all cases, the software is, and all modifications and derivatives of the software shall be, licensed to you solely for use in conjunction with MathWorks products and service offerings.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

‎README.md

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# coexecution_speech_command
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PyTorch and TensorFlow Co-Execution for Speech Command Recognition
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# PyTorch and TensorFlow Co-Execution for Speech Command Recognition
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## Overview
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This demo focuses on running MATLAB with TensorFlow and PyTorch in co-execution mode for Signal Processing applications. The code uses a Speech Command Recognition example and it presents a few concrete options in detail, including using either of MATLAB or Python as master environment.
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## Target Audience
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Signal Processing engineers that use Python for designing and training Deep Learning models (with PyTorch, TensorFlow, Keras) are still likely to find MATLAB very useful for tasks such as dataset curation, signal pre-processing, data synthesis, data augmentation, and feature extraction, etc.
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Open source alternatives exists for those tasks and they they could be OK to use when replicating a pre-existing model or training recipe. For original technical development work however, most users find those tasks hugely easier in MATLAB.
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## Relevant Products
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Audio Toolbox, Signal Processing Toolbox, Parallel Computing Toolbox, Deep Learning Toolbox

‎SECURITY.md

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# Reporting Security Vulnerabilities
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If you believe you have discovered a security vulnerability, please report it to
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[security@mathworks.com](mailto:security@mathworks.com). Please see
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[MathWorks Vulnerability Disclosure Policy for Security Researchers](https://www.mathworks.com/company/aboutus/policies_statements/vulnerability-disclosure-policy.html)
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for additional information.

‎SetupNotes.mlx

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‎onnx.license

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