Introduction to Data-Centric AI

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • dcai-lab

    Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽‍💻

  • chordviz

    A convolutional neural network trained using PyTorch to predict the next chord (as tablature) on a guitar based on image data. Includes labeling software for the image data as well as an iOS app for hosting and running the model.

  • I have an ML project I started that involved manually labeling around 10,000 still frames of my hand on a guitar fretboard playing various chord shapes. I made a little web app with a keyboard interface for quickly adding labels to images. I got up to around an image a second when I got in the zone. I finished the dataset, got distracted by the birth of my son, and have literally done none of the “fun stuff” yet!

    If anyone wants to have a crack at the data, it’s in git-lfs and here:

    https://github.com/williamcotton/chordviz

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • cleanlab

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

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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