Fast and Accurate ML in 3 Lines of Code
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Updated
Aug 5, 2025 - Python
Fast and Accurate ML in 3 Lines of Code
Traffic analysis for Tor-based malware detection and classification
TSForecasting: Automated Time Series Forecasting Framework
Deploy automl models for tabular tasks on AWS Sagemaker with AutoGluon
Computational experiments for the paper "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost" (IJCNN 2021)
Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application
Time Series Forecasting app that predicts solar energy generation potential for homeowners across all 5570 Brazilian cities based on historical solar irradiation data
This shows how to visualize the stack ensemble model trained by AutoGluon.
Automated & Augmented ML Toolbox for Image Classification
AutoML Libraries for training multiple ML models in one go with less code.
CHiLScope is a smart surveillance system that enhances existing CCTV infrastructure by integrating AI-based emergency detection and activity classification. The system is designed to identify emergencies and unusual activities, including events that were not encountered during training, ensuring real-time situational awareness.
A Polymer Toxicity Prediction Tool using PSMILE Strings
Interactive web app for classifying dog and cat breeds from images using AutoGluon. Features model training, validation, Docker deployment, and CI/CD with GitHub Actions. Hosted on Hugging Face Spaces
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