[D] What are notable advances in NLU?

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.
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  • tasksource

    Datasets collection and standardization preprocessings for NLP extreme multitask learning

  • Technically, BERT (bert-base) is not sota anymore. deberta+MTT-DNN (multi-task learning on many datasets) https://ibm.github.io/model-recycling/ is arguably sota.

  • 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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