IronPython
FLAML
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IronPython | FLAML | |
---|---|---|
7 | 9 | |
2,355 | 3,618 | |
1.8% | 2.8% | |
7.4 | 8.3 | |
1 day ago | 5 days ago | |
Python | Jupyter Notebook | |
Apache License 2.0 | 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.
IronPython
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Does Python plan to add JIT or get rid of the GIL?
Sadly, both Jython and IronPython have stalled somewhat. IronPython is slowly working towards Python 3 support. Jython has a roadmap towards Python 3 support, but their version 3 repo is not in active development.
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How are Python and C related? I've read that Python is 'made from C'. Does that mean that Python is just an abstraction of lots of large C functions?
The program I linked is the Python interpreter you're probably using, but the abstract set of rules that make up Python are not in any particular way tied to C. You could also use a Java program or a C# program to interpret your Python code. They've even made Python in Python itself, although it uses a more restricted version of Python so it's easier to compile it.
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Will we ever get a new CLR language to replace C# Like Kotlin did for Java?
It’s up to date https://github.com/IronLanguages/ironpython3/releases/tag/v3.4.0-beta1
- what is the future of ML.NET?
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A Decade Later, .NET Developers Still Fear Being 'Silverlighted' by Microsoft -- Visual Studio Magazine
I mean, there is active work on the repo for it. They even just released a new alpha version yesterday for Python 3.4 support.
FLAML
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Elevate Your Python Skills: Machine Learning Packages That Transformed My Journey as ML Engineer
4. FLAML
- Show HN: AutoML Python Package for Tabular Data with Automatic Documentation
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what is the future of ML.NET?
Improved AutoML - Again, with collaboration from Microsoft Research, we used FLAML to update our existing AutoML solutions. What does this mean for you? You're using the latest techniques but all you need is a problem to solve and some data to get started.
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Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI
For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/FLAML/blob/main/notebook/flaml_automl.ipynb
What are some alternatives?
autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
MicroPython - MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
PySec - OWASP Python Security Project
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Grumpy - Grumpy is a Python to Go source code transcompiler and runtime.
CLPython - An implementation of Python in Common Lisp
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
nitroml - NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
FEDOT - Automated modeling and machine learning framework FEDOT
pyRevit - Rapid Application Development (RAD) Environment for Autodesk Revit®