Performance of Evolutionary Algorithms for Machine Learning

• evojax

  11 781 4.6 Jupyter Notebook
  

Googles evojax project shows that evolutionary algorithms may be applied in the machine learning domain. And https://github.com/google/jax provides means to implement these algorithms to be deployed on CPUs/GPUs or even TPUs. But some questions remain unanswered:

• jax

  82 27,936 10.0 Python

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  

Googles evojax project shows that evolutionary algorithms may be applied in the machine learning domain. And https://github.com/google/jax provides means to implement these algorithms to be deployed on CPUs/GPUs or even TPUs. But some questions remain unanswered:

• InfluxDB

  www.influxdata.com sponsored

  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.

  

• fast-cma-es

  12 103 7.2 Python

  A Python 3 gradient-free optimization library

I tried to answer these questions in EvoJax.adoc

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