Skorch: Training PyTorch models with scikit-learn
PyTorch is an enormously popular framework for developing deep learning models in Python. However, scikit-learn is one of the most popular libraries for general machine learning. Skorch is a wrapper for PyTorch that allows one to use models written with PyTorch with the scikit-learn library. In this talk, we will explore how skorch allows for PyTorch models to be easily incorporated into scikit-learn data/training pipelines, cross-validation and hyperparameter search schemes and eliminates the need for boilerplate training code.
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This webinar was presented by Collin Wilson (SHARCNET) on November 29th, 2023, as a part of a series of weekly Compute Ontario Colloquia. The webinar was hosted by SHARCNET. The colloquia cover different advanced research computing (ARC) and high performance computing (HPC) topics, are approximately 45 minutes in length, and are delivered by experts in the relevant fields. Further details can be found on this web page: https://www.computeontario.ca/trainin... . Recordings, slides, and other materials can be found here: https://helpwiki.sharcnet.ca/wiki/Onl...
SHARCNET is a consortium of 19 Canadian academic institutions who share a network of high performance computers (http://www.sharcnet.ca). SHARCNET is a part of Compute Ontario (http://computeontario.ca/) and Digital Research Alliance of Canada (https://alliancecan.ca).
