[Project] BFLOAT16 on ALL hardware (>= 2009), up to 2000x faster ML algos, 50% less RAM usage for all old/new hardware - Hyperlearn Reborn.

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  • hyperlearn

    2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

  • Hello everyone!! It's been a while!! Years back I released Hyperlearn https://github.com/danielhanchen/hyperlearn. It has 1.2K Github stars, where I made tonnes of algos faster:

  • db-benchmark

    reproducible benchmark of database-like ops

  • Yes, please do! Because polars/tidypolars is the best performer, even better than R's data.table pretty often.

  • 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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