Using MLflow(Machine Learning experimentation tracking tool) in Kaggle notebooks with the help of DagsHub

This page summarizes the projects mentioned and recommended in the original post on /r/developersIndia
Python AI Data Science Data Visualization experiment-tracking

Scout Monitoring - Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
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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.
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  • aim

    Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

    • Here is the codebase of aimlflow https://github.com/aimhubio/aimlflow and Aim https://github.com/aimhubio/aim

  • aimlflow

    aim-mlflow integration

    • Here is the codebase of aimlflow https://github.com/aimhubio/aimlflow and Aim https://github.com/aimhubio/aim

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

    Scout Monitoring logo
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