MLJ.jl
PythonNet
MLJ.jl | PythonNet | |
---|---|---|
6 | 37 | |
1,722 | 4,364 | |
0.6% | 1.1% | |
8.7 | 7.0 | |
8 days ago | 6 days ago | |
Julia | C# | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MLJ.jl
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What is the Julia equivalent of Scikit-Learn?
MLJ.jl is a good Julia ML framework. There's also a Scikitlearn.jl but its more of a wrapper around the sklearn I believe
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My experience working as a technical writer for MLJ
MLJ is a machine learning framework for Julia, which you can kind of infer from the article but it's not super obvious IMO.
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[N] New BetaML v0.8: model definition, hyperparameters tuning and fitting in 2 lines
The Beta Machine Learning Toolkit is a package including many algorithms and utilities to implement machine learning workflows in Julia, with a detailed tutorial on its usage from Python or R (no wrapper packages are needed) and an extensive interface to MLJ.
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Python vs Julia
You should definitely go with Julia. It has steeper learning curve than python, but it is way more powerful. As for the ecosystem, you shouldn't worry about that much: DataFrames.jl and friends is way better than pandas, MLJ.jl (https://github.com/alan-turing-institute/MLJ.jl) and FastAI.jl(https://github.com/FluxML/FastAI.jl) are great frameworks for regular ML and deepnet. And if at any point you get a feeling that you need some python library, you can always plug it in with PyCall.jl(https://github.com/JuliaPy/PyCall.jl).
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sklearn equivalent for Julia?
Imho, Julia is more diverse in the sense that there is not a single popular ML library. Maybe the Julian equivalent for scikit-learn is MLJ.jl. There is also ScikitLearn.jl, which defines the usual interface of scikit-learn models, and specific algorithms then implement this interface.
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Swift for TensorFlow Shuts Down
Then you haven't looked at Julia's ecosystem.
It may not be quite as mature, but it's getting there quickly.
It's also far more interoperable because of Julia's multiple dispatch and abstract types.
For example, the https://github.com/alan-turing-institute/MLJ.jl ML framework (sklearn on steroids), works with any table object that implements the Tables.jl interface out of the box, not just with dataframes.
That's just one example.
PythonNet
- I modified and hacked away xonsh source code
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Multi-threaded task processing engine that supports both sync and async execution
I looked into using .NET as a "backend" and the pythonnet library to bridge the gap, but unfortunately that library does not support async. To properly support it would require some kind of integration with the asyncio event loop APIs or implement the AbstractEventLoop interface and some how make it thread-safe - not even sure that's possible with the API design of asyncio itself.
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[WPF, C#] Need ideas on how to automate these operations based on the response I get from python script.
If you're running the python within C# using Python.NET, then you're somewhat within-process and there are ways of sending the data across. (Return objects, channel/queues, whatever fits your use case.)
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Found this on a job description. Wasn't aware .Net supports Java & Python! .Net core is really coming along.
I was going to make a joke about Python .NET core .. but .. apparently it's a real thing.
- Announcing .NET 8 Preview 4 - .NET Blog
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Starting Python, confused about cross platform app development. Is IronPython + .NET the only option?
I am not set on .NET, but just curious, so thanks for the suggestions. Interesting that it's billed as cross-plaform, but doesn't do it that well. I just searched 'python wrapper for .net' and found PythonNET. Also, it seems yes IronPython is active.
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TIA Openness with Docker
I created a Django based python project that interfaces to TIA Openness to create some Remote IO. To do this I use the pythonnet library. so that I can load the Openness DLL.
- Guidance into the unknown...
- mask detection model made with python, need to make predictions with that model in C#
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Python's “Disappointing” Superpowers
Any .NET language with https://github.com/pythonnet/pythonnet
What are some alternatives?
ScikitLearn.jl - Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
Iron python - Implementation of the Python programming language for .NET Framework; built on top of the Dynamic Language Runtime (DLR).
AutoMLPipeline.jl - A package that makes it trivial to create and evaluate machine learning pipeline architectures.
PyWin32 - python for windows extensions
Enzyme.jl - Julia bindings for the Enzyme automatic differentiator
WinPython - A free Python-distribution for Windows platform, including prebuilt packages for Scientific Python.
Distributions.jl - A Julia package for probability distributions and associated functions.
CefSharp - .NET (WPF and Windows Forms) bindings for the Chromium Embedded Framework
pyTsetlinMachine - Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget
CppSharp - Tools and libraries to glue C/C++ APIs to high-level languages
Tumble.jl - lazy predictive modeling for julia
NuGetForUnity - A NuGet Package Manager for Unity