MLJ.jl
smoke-framework
MLJ.jl | smoke-framework | |
---|---|---|
6 | 4 | |
1,725 | 1,424 | |
0.6% | 0.1% | |
8.7 | 6.5 | |
1 day ago | 3 months ago | |
Julia | Swift | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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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.
smoke-framework
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Swift outside the Apple ecosystem
Also look at: Hummingbird https://github.com/hummingbird-project/hummingbird Smoke https://github.com/amzn/smoke-framework Swift NIO https://github.com/apple/swift-nio
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I love Swift but I don't use it
Here’s our micro service framework: https://github.com/amzn/smoke-framework
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Now that Google jettisoned Swift for TensorFlow, is Swift effectively an Apple language?
They released the Smoke framework, which uses NIO for HTTP.
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Swift for TensorFlow Shuts Down
AWS has a Swift runtime for Lambda [0], and Amazon has an open source server framework for Swift, Smoke [1].
[0] - https://swift.org/blog/aws-lambda-runtime/
[1] - https://github.com/amzn/smoke-framework
What are some alternatives?
ScikitLearn.jl - Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
Vapor - 💧 A server-side Swift HTTP web framework.
AutoMLPipeline.jl - A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Express - Swift Express is a simple, yet unopinionated web application server written in Swift
Enzyme.jl - Julia bindings for the Enzyme automatic differentiator
swifter - Tiny http server engine written in Swift programming language.
PythonNet - Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.
Dynamo - High Performance (nearly)100% Swift Web server supporting dynamic content.
Distributions.jl - A Julia package for probability distributions and associated functions.
Jobs - A job system for Swift backends.
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
SwiftGD - A simple Swift wrapper for libgd