[PyMCon Web Series] Scalable Bayesian Modeling
Speaker: Sandra Yojana Meneses
Event type: Live webinar
Date: March 28, 2023
Time: 16:00 UTC
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Talk Code Repository: On GitHub
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Abstract of the talk
PyMC has now multiple options to boost its performance (JAX support, training on GPUs, etc). The library is widely known for being easy to learn and for its great documentation, but it’s not always seen as a performant tool. The goal of the blog post is to present a benchmark where we can show that PyMC can work with large datasets and different approaches to do so. The blog post will be accompanied with reproducible code so that we can add/update metrics when there are substantial changes in PyMC or other libraries. Users will be able to compare their own models using the code provided in the blog repository.
Welcome to the fourth event of the PyMCon Web Series! As part of this series, most events will have an async component and a live talk.
Sandra has written a blog post, which is accompanied by a full repository where you can test out the performance of your models. You may find the notebook here which includes both the code and instructions for getting thing up and running on Colab.
Try out your models and share the results in this thread
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