GitHub

PyBADS: Bayesian Adaptive Direct Search in Python

PyBADS is a Python implementation of the Bayesian Adaptive Direct Search (BADS) algorithm for solving difficult and mildly expensive optimization problems, originally implemented in MATLAB. BADS has ...
GitHub

Bayesian Optimization & Analysis of Hyperparameters

This repository provides simple examples of how to construct a configuration space using the ConfigSpace package, how to use BOHB with minimal efforts and how to run CAVE to generate a comprehensive ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
IEEE

CausalBO: A Python Package for Causal Bayesian Optimization

Abstract: This paper introduces CausalBO, a Python package developed to enhance the applicability and utility of the Causal Bayesian Optimization (CBO) algorithm. The original CBO algorithm, developed ...
Frontiers

Tree-level almond yield estimation from high resolution aerial imagery with convolutional neural network

Estimating and understanding the yield variability within an individual field is critical for precision agriculture resource management of high value tree crops. Recent advancements in sensor ...
C&EN

NEXTorch: A Design and Bayesian Optimization Toolkit for Chemical Sciences and Engineering

Department of Chemical and Biomolecular Engineering, University of Delaware, 150 Academy St., Newark, Delaware 19716, United States Catalysis Center for Energy Innovation, RAPID Manufacturing ...