automl-algorithms
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Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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Jun 10, 2024 - Python
Fast and customizable framework for automatic ML model creation (AutoML)
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Nov 26, 2025 - Python
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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Jan 30, 2025 - Python
SensiML's open-source AutoML solution for Edge AI model development
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May 3, 2025 - Python
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
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Jan 26, 2022 - Python
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
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Nov 11, 2025 - Python
Automatic Machine Learning Model Creation with GUI and Python.
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Jun 18, 2024 - HTML
Encodings for neural architecture search
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Apr 5, 2021 - Python
The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.
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Nov 25, 2025 - Jupyter Notebook
Everything for the Paper: 'Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing'
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Dec 2, 2023
An autoML for explainable text classification.
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Aug 29, 2025 - HTML
A SapientML plugin of SapientMLGenerator
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Oct 27, 2025 - Python
a library to tune xgboost models
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Feb 14, 2020 - Python
autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners
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Mar 24, 2025 - R
Awesome papers on AutoML (Automatic Machine Learning)
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Jul 20, 2021
This repository contains an implementation of TPOT for obtaining optimal pipelines with the use of genetic algorithms.
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Dec 21, 2020 - Python
Knowledge-driven AutoML
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Sep 27, 2024 - Julia
A deep learning system that automatically designs optimal CNN architectures using Neural Architecture Search to classify lung - colon cancer from histopathology images. Achieves 99.72% accuracy across five cancer types with robust regularization. PyTorch-based solution ready for medical imaging deployment with exceptional generalization performane
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Sep 25, 2025 - Python
Use your skills to help construct a sustainable society by predicting temperature in smart homes.
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Oct 15, 2022 - Jupyter Notebook
Shrinkit is a powerful GUI-based Python library designed for automating machine learning tasks. With its intuitive interface, Shrinkit simplifies the process of building, training, and evaluating machine learning models, making it accessible to users of all skill levels. Shrinkit is a No-code package which can be used as a GUI.
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Mar 18, 2024 - Python
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