clarahoffmann/pycon-2023-honey-i-broke-the-pytorch-model
Streamlit app for "Honey, I broke the PyTorch model" - Talk @ PyCon & PyData 2023
This tool helps machine learning engineers diagnose and prevent issues in their custom PyTorch models. By creating synthetic data and setting up a robust test suite, you can effectively debug models and ensure they perform as expected. It's designed for ML practitioners who build and maintain machine learning models.
No commits in the last 6 months.
Use this if you are a machine learning engineer struggling to identify why your PyTorch model isn't performing correctly or you want to establish better testing practices for your ML development workflow.
Not ideal if you are looking for a pre-built solution for a specific domain problem, rather than a tool for improving your model development and testing process.
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Apr 16, 2023
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