TMT: A KISS library to keep track of experiments, results and code

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning

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
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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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  • modelchimp

    Experiment tracking for machine and deep learning projects

  • While there are available libraries at the moment to do this, such as Weights & Biases or Modelchimp, I wanted a library which could be as simple as possible, both for the user and the developer, and completely free...a library based on the KISS principle. My idea is that the researcher/user of the library should also be able to easily adjust and modify the source code of the library, should they feel the need.

  • that_metric_timeline

    That Metric Timeline (TMT) is a Python library aimed at the machine/deep learning practitioner/researcher. It helps tracking experiments, saving code, metrics and results

  • That's why I've just published That Metric Timeline (TMT) as an open-source project on Github.

  • 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.

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