Top 9 Machine Learning Framework in Julia: Flux, Mocha.jl, Knet, Scikitlearn.jl, Tensorflow.jl, MXNet.jl, MLBase.jl, Merlin, Strada. Julia is developing the number of Machine learning packages and Frameworks Rapidly. Like Python Julia is also a high-level programming language and we need to write less amount of code in Julia which is the same case as of Python.
Julia is a high-level dynamic programming language, that is used by Machine learning Researchers and Practitioners. Julia is developing the number of Machine learning packages and Frameworks Rapidly. As of now Python is the Industry leader in Data science and Machine Learning context.
Python has many number of ML packages, Libraries and ML Web frameworks like Streamlit, Flask, Plotly and many more, which makes python No 1 programming Language and developers first choice. But Python has one of the major problem which may give option to many market like Julia, Go and many other programming language to replace Python. Replacing python will not be simple task, it will take around 4 to 5 years.
One programming language which is in competition with python is Julia. Like Python Julia is also a high-level programming language and we need to write less amount of code in Julia which is the same case as of python. But if we compare the speed of python with Julia, here Julia is the 10 times faster than Python and we need to remember Julia solves the speed limitation of python. Julia is very fastest running and executing language just after C++. Below are the comparable chart of different different programming language. Clearly we can see How fast Julia is?
Programming Language benchmark
If we compare Python with Julia, still as of now Python is a leader because as we know python solves many industrial use cases. If we compare the amount of Packages and Libraries in both python and Julia, Python is a big leader, Still Julia is investing more on the packages and Framework development. If we compare in terms of speed Julia is the big leader comparing with every other programming language like java, c## or many more.
In this article we will try to understand the top 9 ML Julia package or Machine Learning. If you want to know more about Machine Learning or Python you can visit my older articles on these topics under same account. From now I will be more focusing on Julia as I told u, Julia will be one of the most used and popular Programming Language of Future in coming 4–5 years and we are expecting a lot of development in Julia community in the coming 2–3 years. Julia basically uses the parallel programming down the line to solve big data problems and to implement this feature, it is very simple in Julia. In the future Article I will be explaining you each and every concepts related to Julia like Data structure, julia variables, julia keywords and many more. One thing we need to keep in mind our approach will be same that we have learnt in our earlier articles. Concepts will remain same but the programming Language and the syntax will change. Only we need to focus on the the Syntax and Language, rest job we already know.
Julia was developed in 2012. Till now Julia has been downloaded 17 million times and counting. Julia has more than 1000 active contributors on Github. Top 9 ML Framework in Julia is below:
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