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

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

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

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

DeepArchitect: Automatically Designing and Training Deep Architectures

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.

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.

An intelligent, flexible grammar of machine learning.

Real-time explainable machine learning for business optimisation

ImputeGAP is a comprehensive Python library for imputation of missing values in time series data. It implements user-friendly APIs to easily visualize, analyze, and repair incomplete time series datasets.

CLI-based tool to automatically build ML models from training data into a servable Docker container

HyPSTER - Configuration Framework for Optimizing AI & AI Systems

Automated machine learning for text classification

New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.

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.

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

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

Sberbank Data Science Jorney Auto-ML competition

Digital twins are created using data derived from IoT sensors that are attached to or embedded in an object. This data provides both structural and operational views of what happens to the object in real time, allowing engineers to monitor systems and model systems dynamics.