MLBox is a powerful Automated Machine Learning python library.

DeepArchitect: Automatically Designing and Training Deep Architectures

NSGA-Net, a Neural Architecture Search Algorithm

A general, modular, and programmable architecture search framework

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

Sberbank Data Science Jorney Auto-ML competition

Introduction to scikit-learn and TPOT

mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens

HyPSTER - HyperParameter optimization on STERoids

A hyperparameter optimization and meta-learning toolbox for convenient and fast prototyping of machine-/deep-learning models.

The genetic neural architecture search (GeneticNAS) is a neural architecture search method that is based on genetic algorithm which utilized weight sharing across all candidate network.

Simple Intelligent Learning Kit (SILK) for Machine learning

This repository covers h2o ai based implementations

Automated Deep learning & Machine Learning in JavaScript, in browser locally or in node.

FastML Framework is a python library that allows to build effective Machine Learning solutions using luigi pipelines.

Files and Notebooks for Kaggle Titanic

Auto machine learning framework based on sklearn, mlxtend, etc.

Divisive Intelligent K-Means algorithm (DiviK) for joint feature selection and clustering of heavily multidimensional data.

Updated documents

Source code and presentation for my talk at Brisbane Global AI Bootcamp 2018

The code is modified based on https://github.com/quark0/darts and used for learning

using TF to retrain basic nn including CNN RNN GAN..

Tackling AutoNLP.

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

Class project for 6.830 database systems

Omakase: Personalised recommendations using images in users' photo libraries