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Copying 'Introduction to Data Analysis with Bayesian Statistical Modeling' in Python and Stan - Vol. 15 Logistic Regression Model

This article is a Python copying activity record of Chapter 9, Part 3: 'Logistic Regression Model' from the book 'Introduction to Data Analysis with Bayesian Statistical Modeling using R and Stan'.
GitHub

TensorFlow Probability

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...
Frontiers

NbBayesLM: bayesian prediction of nanobody thermostability using protein language model

The deterministic fusion MLP (hidden widths 724 → 362 → 180; 607,844 parameters) is configured with reduced parameters compared to Bayesian counterpart (723,972 parameters) corresponding to an ...
GitHub

ai-agriculture-circuits-and-systems/ai_agriculture_news

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...