[Discussion] - "data sourcing will be more important than model building in the era of foundational model fine-tuning"

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
Data Science Machine Learning Python weak-supervision Data Analysis

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.
www.influxdata.com
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  • snorkel

    A system for quickly generating training data with weak supervision

  • cleanlab

    The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

  • 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

  • ydata-profiling

    1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  • OpenRefine

    OpenRefine is a free, open source power tool for working with messy data and improving it

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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