Change-point detection, rate-monitoring and pattern analysis for time-tagged event data using Bayesian Blocks (Scargle, 2013) and Non-Negative Matrix Factorization (NMF)
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Updated
Jun 6, 2024 - Python
Change-point detection, rate-monitoring and pattern analysis for time-tagged event data using Bayesian Blocks (Scargle, 2013) and Non-Negative Matrix Factorization (NMF)
Bayesian Optimization and Design of Experiments
Software and instructions for setting up and running a self-driving lab (autonomous experimentation) demo using dimmable RGB LEDs, an 8-channel spectrophotometer, a microcontroller, and an adaptive design algorithm, as well as extensions to liquid- and solid-based color matching demos.
PHYSBO -- optimization tools for PHYsics based on Bayesian Optimization
Scalable Non-myopic Bayesian Optimization in Dynamic Cost Settings
Experimental design and (multi-objective) bayesian optimization.
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Official implementation of Black-box Universal Adversarial Attacks with Bayesian Optimization.
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
A deep generative modeling architecture for designing lattice constrained materials
An evaluation framework for machine learning models simulating high-throughput materials discovery.
A package for the optimisation of numerical responses
Developing delivery time estimation model using Neural Networks
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
multi-fidelity fusion toolbox with (MF) Bayesian optimization
Simple, but essential Bayesian optimization package
Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.
Globally Safe Model-free Exploration of Dynamical Systems
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