Automl Libraries

16 Components & Libraries

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Automl Libraries

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

To install the current release: Participating discussions via the following IM groups is also welcomed. Over the past few years, NNI has received thousands of feedbacks on GitHub issues, and pull req…

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get…

An open source python library for automated feature engineering

Install with pip You can install add-ons individually or all at once by running Below is an example of using Deep Feature Synthesis (DFS) to perform automated feature engineering. In this example, we…

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.

GitHub GitHub issues -- file bug reports / track issues here Stack Overflow -- ask all code/software questions here Cross Validated (Stack Exchange) -- ask algorithm/theory questions here h2ostream G…

[UNMAINTAINED] Automated machine learning for analytics & production

Automated machine learning for production and analytics auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on sing…

MLBox is a powerful Automated Machine Learning python library.

MLBox has been developed and used by many active community members. Your help is very valuable to make it better for everyone.

ModelFox makes it easy to train, deploy, and monitor machine learning models.

ModelFox makes it easy to train, deploy, and monitor machine learning models. Now you can: This repository is a Cargo workspace, and does not require anything other than the latest nightly Rust toolc…

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

To demo some of Otto's core features, try out the following: And feel free to get creative! Come up with your own machine learning goals and see where Otto takes you. Below is a step-by-step breakdow…

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

PyAF is an Open Source Python library for Automatic Forecasting built on top of popular data science python modules: NumPy, SciPy, Pandas and scikit-learn. PyAF works as an automated process for pred…

A Python framework for program synthesis with a focus on Automated Machine Learning.

Technically speaking, AutoGOAL is a framework for program synthesis, i.e., finding the best program to solve a given problem, provided that the user can describe the space of all possible programs. A…

State-of-the art Automated Machine Learning python library for Tabular Data

Classifier: Regression: DataPrepare: Simple Models Wrapper: More examples in the folder ./examples: It integrates many popular frameworks: Run

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

TPOT stands for Tree-based Pipeline Optimization Tool. TPOT2 is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. Consider TPOT2 your Data …

🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

Allie is a framework for building machine learning models from audio, text, image, video, or .CSV files. Intended for both beginners and experts, Allie is designed to be easy-to-use for rapid prototy…

Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.

Under the 'comprehensive' aspect, the project will explore and test all plausible prediction methods, ensuring an evolving scope and prioritization based on the utility of the results. This creates a…

AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!

This is a Web Application designed to train Machine Learning pipelines using MLJAR AutoML, specifically tailored for tabular data. All the generated models are compressed into an archive format, allo…

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