This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
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Updated
Jul 27, 2015
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
Platform for automatic processing of (aq-tngapms) Air Quality using TNGAPMS
Code for "A-NICE-MC: Adversarial Training for MCMC"
The aim of this project is to apply Bayesian Machine Learning Algorithm to predict the diagnosis condition of the patients.
BayesianNonparametrics in julia
Assignment code for Bayesian ML course on Coursera
Key words: Bayesian analysis, Probabilistic programming, Data analysis, Bayesian machine learning... Using Python with its library PyMC3, pandas...
Repo of udemy bayesian machine learning A/B test
Exploration of TensorFlow-2 and TensorFlow probability to implement Bayesian Neural Networks, Normalizing flows, real NVPs and Autoencoders. Exploration of Bayesian Modelling and Variational Inference with Pyro.
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Bayesian Actor-Critic with Neural Networks. Developing an OpenAI Gym toolkit for Bayesian AC reinforcement learning.
Python package for Bayesian Machine Learning with scikit-learn API
Bayesian Machine Learning Project
Exercises on Bayesian linear regression, Gaussian Processes, Metropolis-Hastings Inference for Bayesian Logistic Regression, K-means and Probabilistic PCA. Made at Institut EURECOM (FR)
Bayesian methods for machine learning course at CentraleSupélec
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.
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