AI-enabled lithium carbonate production with integrated CO2 capture, boosting and optimizing sustainable Li-ion battery production.
-
Updated
Sep 4, 2024 - Jupyter Notebook
AI-enabled lithium carbonate production with integrated CO2 capture, boosting and optimizing sustainable Li-ion battery production.
Efficient approximate Bayesian machine learning
Numerical experiments to illustrate theoretical points of the article: A non-asymptotic analysis for stein variational gradient descent, Korba et al., 2021
Notebooks about Bayesian methods for machine learning
Library for Bayesian machine learning
A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization
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.
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
Bayesian methods for machine learning course at CentraleSupélec
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 Machine Learning Project
Python package for Bayesian Machine Learning with scikit-learn API
Bayesian Actor-Critic with Neural Networks. Developing an OpenAI Gym toolkit for Bayesian AC reinforcement learning.
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
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.
Repo of udemy bayesian machine learning A/B test
Key words: Bayesian analysis, Probabilistic programming, Data analysis, Bayesian machine learning... Using Python with its library PyMC3, pandas...
Assignment code for Bayesian ML course on Coursera
Add a description, image, and links to the bayesian-machine-learning topic page so that developers can more easily learn about it.
To associate your repository with the bayesian-machine-learning topic, visit your repo's landing page and select "manage topics."