Should you learn Julia or Python for Machine Learning?

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

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  • Flux.jl

    Relax! Flux is the ML library that doesn't make you tensor

    We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.

  • Knet.jl

    Koç University deep learning framework.

    We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.

  • 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.

  • MLBase.jl

    A set of functions to support the development of machine learning algorithms

    We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.

  • Plots.jl

    Powerful convenience for Julia visualizations and data analysis

    We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.

  • tensorflow

    An Open Source Machine Learning Framework for Everyone

    But, now we have to get used to Python's library of Machine Learning packages: tensorflow, numpy, matplotlib, and finally pandas

  • NumPy

    The fundamental package for scientific computing with Python.

    But, now we have to get used to Python's library of Machine Learning packages: tensorflow, numpy, matplotlib, and finally pandas

  • matplotlib

    matplotlib: plotting with Python

    But, now we have to get used to Python's library of Machine Learning packages: tensorflow, numpy, matplotlib, and finally pandas

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    Learn 300+ open source libraries for free using AI. LearnThisRepo lets you learn 300+ open source repos including Postgres, Langchain, VS Code, and more by chatting with them using AI!

  • 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

    But, now we have to get used to Python's library of Machine Learning packages: tensorflow, numpy, matplotlib, and finally pandas

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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