Debugging Machine Learning "[N]"

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
UI responsible-ai Data Science fairness fairness-ml

SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
surveyjs.io
featured
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
featured

  • responsible-ai-toolbox

    Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

    • http://erroranalysis.ai/ is a new open-source tool for in-depth understanding and diagnosis of Machine Learning Errors. The tool is available as a highly interactive jupyter widget and brings in several visualization primitives all centered around debugging activities in ML (main repo: https://github.com/microsoft/responsible-ai-widgets).

  • SurveyJS

    Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

    SurveyJS 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.

Suggest a related project

Related posts

  • [N] Visualize Your Model Errors! Microsoft Toolkit Identifies and Diagnoses ML Failures

    1 project | /r/learnmachinelearning | 23 Feb 2021

  • Fairlearn

    1 project | news.ycombinator.com | 31 May 2023

  • Open source projects to work on AI bias

    2 projects | /r/MLQuestions | 28 Mar 2023

  • In your experience, are AI Ethics teams valuable/effective? [D]

    1 project | /r/MachineLearning | 16 Mar 2023

  • Conselhos para embedded

    1 project | /r/devpt | 12 Feb 2023