[P] Training synthetic models on highly complex datasets.

• trainer

  4 28 8.1 Python

  Simple interface to synthesize complex and highly dimensional datasets using Gretel APIs. (by gretelai)

  

We published a notebook and a GitHub repo that helps you train synthetic models on highly dimensional datasets (e.g. 1000's of columns, and millions of records). It works by using Gretel's open source header clustering to group correlated data and parallelize training across multiple GPUs. https://github.com/gretelai/trainer

• InfluxDB

  www.influxdata.com featured

  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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