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1. Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

   Jupyter Notebook 2.6k 544

2. Neat Bayesian machine learning examples

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3. Code for the paper "Outlier-robust Kalman Filtering through Generalised Bayes" presented at ICML 2024

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4. Repository for the paper "BONE: a unifying framework for Bayesian online learning in non-stationary environments"

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5. Repository of notes, code and notebooks in Python for the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto

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6. Martingale posterior neural networks for fast sequential decision making @ Neurips 2025

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