[D] Suggestions for state-of-the-art genetic algorithm implementations or alternatives for black box optimization?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub helps you find the best software and product alternatives
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  • HEBO

    Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

    • Huawei Noah's Ark Lab has done a lot of work on black box optimisation and won the BBO Challenge back in 2020 with their HEBO algorithm. This repo has an overview of all their work.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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