Fast and Accurate ML in 3 Lines of Code

Traffic analysis for Tor-based malware detection and classification

TSForecasting: Automated Time Series Forecasting Framework

Corporate Credit Rating Prediction with AWS SageMaker JumpStart

Deploy automl models for tabular tasks on AWS Sagemaker with AutoGluon

A code-free AutoML pipeline with AutoGluon, Amazon SageMaker, and AWS Lambda.

Computational experiments for the paper "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost" (IJCNN 2021)

Deploy AutoML models for image classification on AWS Sagemaker with AutoGluon

This repository shows how to use AWS step functions to train and deploy Autogluon tabular models on Amazon SageMaker

Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application

使用比赛方提供的脱敏数据，进行客户信贷流失预测。

This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.

Repositório com projetos utilizando ferramentas e bibliotecas para automatização de etapas de projetos de data science.

In this project, you'll use the AutoGluon library to train several models for the Bike Sharing Demand competition in Kaggle. You will be using Tabular Prediction to fit data from CSV files provided by the competition.

Developers of all skill levels get hands on with machine learning through a cloud based 3D racing simulator, fully autonomous 1/18th scale race car driven by reinforcement learning, and global racing league.

predict bike sharing demand using the AWS AutoGloun Framework

This shows how to visualize the stack ensemble model trained by AutoGluon.

Udacity Nano degree Project: Bike Sharing Demand using kaggle dataset