Top 12 Python automated-machine-learning Projects
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.Project mention: Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI | dev.to | 2021-10-04
For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/nni/blob/master/examples/notebooks/tabular_data_classification_in_AML.ipynb
AutoML library for deep learning
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
Automated Machine Learning with scikit-learnProject mention: Why not AutoML every tabular data? | reddit.com/r/datascience | 2021-07-26
Efficiency Ignoring the feature engineering aspects aside, a typical data scientist workflow involves trying out the different models. Some of the AutoML modules like H2O AutoML, AutoSklearn does this for you, and allow you to interpret your models. All these save so much time experimenting with the standard models.
AutoGluon: AutoML for Text, Image, and Tabular DataProject mention: What will the data science job market be like in 5 years? | reddit.com/r/datascience | 2021-08-14
Some AutoML is getting pretty good, AutoGluon is very solid for tabular data. That being said you still need to have your data in tabular format and deployment still requires some effort.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic DocumentationProject mention: I'm Looking to Help Contribute, I am very confident with my skills | reddit.com/r/Python | 2021-12-02
Automated Machine Learning (AutoML) Python package https://github.com/mljar/mljar-supervised You can check list of open issues. Or I can recommend some just tell me your preferences (Im the main contributor)
A fast library for AutoML and tuning.Project mention: Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI | dev.to | 2021-10-04
For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/FLAML/blob/main/notebook/flaml_automl.ipynb
LAMA - automatic model creation frameworkProject mention: Github Discussion: What is your favorite Data Science Repo? | reddit.com/r/datascience | 2021-07-24
Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.Project mention: AutoViz: Automatically visualize any dataset, any size with one line of code | news.ycombinator.com | 2021-02-09
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.Project mention: Hyperactive: An optimization and data collection toolbox for AutoML | news.ycombinator.com | 2021-05-15
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Automated modeling and machine learning framework FEDOTProject mention: Winning a Flood-Forecasting Hackathon with Hydrology and AutoML | reddit.com/r/hackathon | 2022-01-14
Hi to everyone! I am a developer of the FEDOT framework, and our team and I (NSS_lab team) recently won a hackathon EmergencyDataHack (rus). There was a recent post on TowardsDataSciense based on our competition things: Winning a Flood-Forecasting Hackathon with Hydrology and AutoML.
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/Project mention: [P] Albumentations 1.0 is released (a Python library for image augmentation) | reddit.com/r/MachineLearning | 2021-06-01
We started to implement differentiable augmentations as a part of AutoAlbument (a tool that automatically searches for the best augmentation policies for your data) - https://github.com/albumentations-team/autoalbument, it is more a research project.
Python automated-machine-learning related posts
Ask HN: Which piece of tech is underutilized?
1 project | news.ycombinator.com | 6 Nov 2021
Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI
2 projects | dev.to | 4 Oct 2021
[N] Fast AutoML with Microsoft's FLAML + Ray Tune
1 project | reddit.com/r/MachineLearning | 25 Aug 2021
[R] FLAML - Fast and Lightweight AutoML library
1 project | reddit.com/r/MachineLearning | 16 Aug 2021
Why not AutoML every tabular data?
1 project | reddit.com/r/datascience | 26 Jul 2021
Flaml – Cost-effective hyperparameter optimization AutoML
1 project | news.ycombinator.com | 23 Jul 2021
[R] Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data
1 project | reddit.com/r/MachineLearning | 23 Jun 2021
What are some of the best open-source automated-machine-learning projects in Python? This list will help you:
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