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Neat Bayesian machine learning examples

prml

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

Jupyter Notebook

2,065

weighted-likelihood-filter

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

Jupyter Notebook

reinforcement-learning

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

Jupyter Notebook

misc

Collection of code without a particular purpose.

Jupyter Notebook

rebayes-mini

Minimalist version of probml/rebayes

Python

QMUL

Repository of code and notes for the MSc. in Maths at Queen Mary University of London

Jupyter Notebook

deep-learning-bishop

Notes and code from the book Deep Learning: Foundations and Concepts by C. Bishop and H. Bishop

Jupyter Notebook

gerdm.nabla.mx

Personal Blog

HTML

simple-jax

Recipes for machine learning using Jax (as simple as possible)

pknn.jl

Probabilistic k-nearest neighbours

Julia

prediction-learning-games

Notebook and scripts of Prediction, Learning, and Games by Nicolò Cesa-Bianchi

Jupyter Notebook

TGMAFFIRO

Theoretical Grounds and Market Adaptations of Financial FX and Interest Rate Options

Jupyter Notebook

hard-em-lvm

Jupyter Notebook

machine_learning

A repository with a bunch of machine learning

Jupyter Notebook

elements-smc

Jupyter Notebook

rl-ou-process

Reinforcement Learning over an Ornstein Uhlenbeck process

Jupyter Notebook

weighted-likelihood-filter-talk

Vue

gerdm.github.io

Personal site

CSS

gerdm/bayes

gerdm

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