Reverse Dependencies of tpot

The following projects have a declared dependency on tpot:

• AI-Starter — Python library which is extensively used for all AI projects
• allcools — Toolkit for single-cell DNA methylome and multiomic data analysis.
• AMLpp — Wrapper for ml library
• arbok — A wrapper toolbox that provides compatibility layers between TPOT and Auto-Sklearn and OpenML
• AutoBrewML — With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.
• automatminer — automated machine learning for materials science
• diva-seq-opt — Predict the library loading concentration to use for mi-seq runs based on bioanalyzer data.
• dsbot — Chatbot framework ...
• dspygen — A Ruby on Rails style framework for the DSPy (Demonstrate, Search, Predict) project for Language Models like GPT, BERT, and LLama.
• dsu — no summary
• DXC-Industrialized-AI-Starter — Python library which is extensively used for all AI projects
• DXC-RL — Python library which is extensively used for all AI projects
• easyautoml — Automl with Featuretools generate features and use tpot to select model
• evolutionary-forest — An open source python library for automated feature engineering based on Genetic Programming
• fedot — Automated machine learning framework for composite pipelines
• foreshadow — Peer into the future of a data science project
• iljicevs-ml — Library implementation of the Iljiceva model.
• PhenoFeatureFinder — Find metabolic features linked to insect development phenotypes
• phloemfinder — Find plant metabolites related to whitefly pest resistance
• rain-dm — Rain library.
• RapidML — RapidML is your Smart Machine Learning assistant that not only automates the creation of machine learning models but also enables you to easily deploy the models to the cloud. Find the documentation at: https://ritabratamaiti.github.io/RapidML
• wagtail-easyAI — Automated machine learning for Wagtail CMS
• wxyz-notebooks — notebook demos for experimental Jupyter widgets