#
automatic-machine-learning
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✨ Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Updated
Jul 31, 2020
Python
DeepArchitect: Automatically Designing and Training Deep Architectures
Updated
Oct 1, 2019
Python
A general, modular, and programmable architecture search framework
Updated
Feb 22, 2020
Python
Updated
Jul 13, 2020
Jupyter Notebook
State-of-the art Automated Machine Learning python library for Tabular Data
Updated
Jul 29, 2020
Python
Package: R Interface to AutoKeras
Comparison of automatic machine learning libraries
Updated
Dec 7, 2017
Python
An automatic machine learning system
Updated
Apr 20, 2020
Python
Surrogarte modelling technique selector
Updated
Nov 14, 2019
Jupyter Notebook
This repo holds the code, dataset, and running scripts for fast k-means evaluation
Updated
Jun 11, 2020
Java
SKSurrogate is a suite of tools which implements surrogate optimization for expensive functions based on scikit-learn. The main purpose of SKSurrogate is to facilitate hyperparameter optimization for machine learning models and optimized pipeline design (AutoML).
Updated
Jun 29, 2020
Python
Updated
Sep 4, 2019
Jupyter Notebook
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