Heteroscedastic Bayesian Optimisation in Numpy

Bayesian Additive Regression Trees For Python

A global, black box optimization engine for real world metric optimization.

Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)

Google's Operations Research tools:

General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like architectures. Compatible with the HuggingFace Transformers m…

Bayesian optimization in PyTorch

This repository contains python code for identifying DNA motifs (short DNA sequences) using Bayesian CNNs combined with an attention mechanism

DGN with Bayesian attention

Bayesian Attention Modules

A Python implementation of global optimization with gaussian processes.

Optimal Bayesian Experiment Design

Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

Deep Gaussian Processes in Python

Sequential model-based optimization with a `scipy.optimize` interface

Benchmarking human and machine learning performance.

Experimental Design via Bayesian Optimization

Bayesian Optimization using GPflow

Experimental design and Bayesian optimization library in Python/PyTorch

Gaussian Process Optimization using GPy

Benchmarking

Gaussian processes framework in python

Design of experiments for Python

Bayesian optimization for Python

Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.

Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/GoogleCloudPlatform/vertex-ai-samples

Open-source implementation of Google Vizier for hyper parameters tuning

Bayesian Modeling and Probabilistic Programming in Python