auto-ml

Ergonomic machine learning for everyone.

MLBox is a powerful Automated Machine Learning python library.

Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

NSGA-Net, a Neural Architecture Search Algorithm

(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation

aw_nas: A Modularized and Extensible NAS Framework

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

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

DeepArchitect: Automatically Designing and Training Deep Architectures

A general, modular, and programmable architecture search framework

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

An intelligent, flexible grammar of machine learning.

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Sberbank Data Science Jorney Auto-ML competition

An assistive stove-top cooking device with machine vision - for domestic automation research

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.

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

This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course

This repository covers h2o ai based implementations

HyPSTER - HyperParameter optimization on STERoids

Slow progress? Twenty One (21) is the auto ML engine which makes it easy to dish out ML models in an automated way.

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

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

Semi-Auto Machine Learning Library by d4rk-lucif3r

a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合

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