Multithreading, Collections, Optimization, Span Text, Runtime Generation and other classes you might find essential.
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Updated
May 11, 2024 - C#
Multithreading, Collections, Optimization, Span Text, Runtime Generation and other classes you might find essential.
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Jointly-trained tree kernels for Gaussian processes
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.
Minimal Implementation of Bayesian Optimization in JAX
Bayesian Optimization and Design of Experiments
Bayesian Optimization for Precision Agriculture
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Bayesian optimization using Gaussian Process regression (Python)
Computer-aided molecular and process design using Bayesian optimization
Multiobjective black-box optimization using gradient-boosted trees
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Scalable Non-myopic Bayesian Optimization in Dynamic Cost Settings
BOSS (Bayesian Optimization with Semiparametric Surrogate)
Bayesian Optimization implementation for text classifiction
MITIM (MIT Integrated Modeling) Suite for Fusion Applications
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