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

Ergonomic machine learning for everyone.

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

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

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

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

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

DeepArchitect: Automatically Designing and Training Deep Architectures

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

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.

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.