Ergonomic machine learning for everyone.

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

MLBox is a powerful Automated Machine Learning python library.

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

A deep learning tool for time series classification and regression

The practitioner's forecasting library

Asynchronous Distributed Hyperparameter Optimization.

NSGA-Net, a Neural Architecture Search Algorithm

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

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

aw_nas: A Modularized and Extensible NAS Framework

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

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

DeepArchitect: Automatically Designing and Training Deep Architectures

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

A general, modular, and programmable architecture search framework

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.

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

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 in Python.