Bayesian Modeling and Computation in Python

Last update: Jan 02, 2023

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Overview

Bayesian Modeling and Computation in Python

Open access and Code

This repository contains the open access version of the text and the code examples in the book. All of this can be more easily viewed at www.bayesiancomputationbook.com

See a mistake?

If you see any issues please create an issue on the issue tracker

Environment installation

To run the code you will need to install the correct packages in a computational environment. We have provided instructions below for common options.

Conda

conda env create -f environment.yml
conda activate bmcp

Colab

The book code can also be run using Google Colab. https://colab.research.google.com

More instructions to come soon

Owner

Bayesian Modeling and Computation in Python

Code, references and all material to accompany the text

GitHub Repository https://www.bayesiancomputationbook.com

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Bayesian Modeling and Computation in Python

Related tags

Overview

Bayesian Modeling and Computation in Python

Open access and Code

See a mistake?

Environment installation

Conda

Colab

Owner

Bayesian Modeling and Computation in Python

LiuAlgoTrader is a scalable, multi-process ML-ready framework for effective algorithmic trading

Banpei is a Python package of the anomaly detection.

A Collection of Conference & School Notes in Machine Learning 🦄📝🎉

Mixing up the Invariant Information clustering architecture, with self supervised concepts from SimCLR and MoCo approaches

Fourier-Bayesian estimation of stochastic volatility models

This handbook accompanies the course: Machine Learning with Hung-Yi Lee

Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters

Breast-Cancer-Classification - Using SKLearn breast cancer dataset which contains 569 examples and 32 features classifying has been made with 6 different algorithms

ELI5 is a Python package which helps to debug machine learning classifiers and explain their predictions

Implementation of linesearch Optimization Algorithms in Python

A logistic regression model for health insurance purchasing prediction

PyHarmonize: Adding harmony lines to recorded melodies in Python

Xeasy-ml is a packaged machine learning framework.

BudouX is the successor to Budou, the machine learning powered line break organizer tool.

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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Scikit-Learn useful pre-defined Pipelines Hub

Tools for Optuna, MLflow and the integration of both.