[D] What are the necessary python framework(s) to learn to become an AI/ML dev? A.K.A Complete Roadmap.

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

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  • examples

    TensorFlow examples (by tensorflow)

  • Deep learning: tensorflow, pytorch

  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • Deep learning: tensorflow, pytorch

  • 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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  • plotly

    The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

  • Data visualization: matplotlib, seaborn, bokeh, dash / plotly, etc.

  • Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  • Data manipulation: pandas, numpy

  • NumPy

    The fundamental package for scientific computing with Python.

  • Data manipulation: pandas, numpy

  • 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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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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