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Top 23 Python Automl Projects
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Ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Project mention: TransformerXL + PPO Baseline + MemoryGym | reddit.com/r/reinforcementlearning | 2023-02-15RLlib
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MindsDB
MindsDB is a Server for Artificial Intelligence Logic. Enabling developers to ship AI powered projects to production in a fast and scalable way.
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ONLYOFFICE
ONLYOFFICE Docs — document collaboration in your environment. Powerful document editing and collaboration in your app or environment. Ultimate security, API and 30+ ready connectors, SaaS or on-premises
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For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...
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nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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Project mention: featuretools - perform automated feature engineering. | reddit.com/r/engineering_stuff | 2023-04-29
featuretools
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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Project mention: pip install remyxai - easiest way to create custom vision models | reddit.com/r/computervision | 2023-04-25
This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg https://github.com/autogluon/autogluon)
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igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
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Project mention: [podcast] Machine Learning for Time Series Intelligence | reddit.com/r/GradientFlow | 2022-08-25
Aadyot Bhatnagar, is a Senior Research Engineer at Salesforce, and co-creator of Merlion an open source framework for applying machine learning on time series data.
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Project mention: What are some open-source ML pipeline managers that are easy to use? | reddit.com/r/mlops | 2023-05-03
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Project mention: Is there any premade evolutionary algorithm selecting optimal NN architectures in TensorFlow ? | reddit.com/r/learnmachinelearning | 2022-10-13
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mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Project mention: [P] Build data web apps in Jupyter Notebook with Python only | reddit.com/r/MachineLearning | 2023-02-15Sure, at the bottom of our website you can subscribe for newsletter.
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lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Project mention: [D] Looking for github package testing many decision tree models - it exists but I can't find it in my browser history | reddit.com/r/MachineLearning | 2023-01-10 -
sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Project mention: Can You Achieve GPU Performance When Running CNNs on a CPU? | reddit.com/r/computervision | 2023-04-08 -
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AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
AutoViz: A Python library that automatically visualizes any dataset in just one line of code.
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Project mention: [D] Is there any research into using neural networks to discover classical algorithms? | reddit.com/r/MachineLearning | 2023-01-01
I first learned about it with PySR https://github.com/MilesCranmer/PySR, they have an arxiv paper with some use cases as well.
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Sounds that OP is looking for time series anomaly detection, not multivariate. Perhaps https://github.com/datamllab/tods is an option,
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You can use Optuna, SMAC or hyperopt
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luminaire
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2023-05-12.
Python Automl related posts
- How to Make a Gmail Bot with a persona using OpenAI GPT and MindsDB
- pip install remyxai - easiest way to create custom vision models
- Filter Pruning for PyTorch
- Filter Pruning for PyTorch
- GitHub - mindsdb/mindsdb: A low-code Machine Learning platform to help developers build #AI solutions
- luminaire: NEW Data - star count:692.0
- luminaire: NEW Data - star count:692.0
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A note from our sponsor - Sonar
www.sonarsource.com | 1 Jun 2023
Index
What are some of the best open-source Automl projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | Ray | 25,744 |
| 2 | MindsDB | 16,266 |
| 3 | best-of-ml-python | 13,672 |
| 4 | nni | 12,917 |
| 5 | autokeras | 8,839 |
| 6 | auto-sklearn | 6,958 |
| 7 | featuretools | 6,647 |
| 8 | autogluon | 5,771 |
| 9 | igel | 3,047 |
| 10 | Merlion | 2,981 |
| 11 | zenml | 2,878 |
| 12 | keras-tuner | 2,719 |
| 13 | mljar-supervised | 2,617 |
| 14 | lazypredict | 2,020 |
| 15 | sparseml | 1,652 |
| 16 | AutoDL-Projects | 1,487 |
| 17 | MLBox | 1,424 |
| 18 | AutoViz | 1,326 |
| 19 | PySR | 1,254 |
| 20 | tods | 979 |
| 21 | SMAC3 | 843 |
| 22 | luminaire | 696 |
| 23 | evalml | 610 |
Write Clean Python Code. Always.
Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
www.sonarsource.com