Releasing The Force Of Machine Learning: A Novice’s Guide 😃

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • examples

    TensorFlow examples (by tensorflow)

  • TensorFlow: An open-source machine learning framework for high-performance numerical computations, especially well-suited for deep learning.

  • seaborn

    Statistical data visualization in Python

  • Seaborn: A statistical data visualization library based on Matplotlib, enhancing the aesthetics and visual appeal of statistical graphics.

  • 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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  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • PyTorch: An open-source deep learning framework that facilitates dynamic computational graphs, making it flexible and efficient for research and production.

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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