What is the greatest achievement of Genetic Algorithms[D]?

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

InfluxDB - Power Real-Time Data Analytics at Scale
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  • es_pytorch

    High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters

  • ES, specifically OpenAI's ES (and to an extent CMA-ES). This has been shown to be very competitive with modern state of the art RL algorithms. A huge benefit of it is that it's incredibly easy to implement (I'm gonna shamelessly plug my implementation if you want to see the inner workings)

  • 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.

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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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