Dev tools · September 29, 2023
SapientML – Generative AutoML for Tabular Data
Generative AutoML for Tabular Data. Contribute to sapientml/sapientml development by creating an account on GitHub.
SapientML – Generative AutoML for Tabular Data launched on September 29, 2023 with 82 votes, #1,133 of 4,228 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
SapientML is an automated machine learning tool designed for tabular data analysis. It generates machine learning pipelines automatically, reducing the need for manual model building and feature engineering. The tool is intended for data scientists and analysts who work with structured datasets. It stands out by providing a generative approach to AutoML, streamlining the process of creating and testing machine learning models on tabular data without requiring extensive manual configuration.
written from the facts on this page · September 2026
Does a similar job
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Web App with GUI for AutoML on Tabular Data2023 · github.com · ▲41AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally! - mljar/automl-app
AutoML Python Package for Tabular Data with Automatic Documentation2022 · github.com · ▲67Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
Mljar Automated Machine Learning for Tabular Data (Explanation,AutoDoc)2021 · github.com · ▲33Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised

Mljar-Supervised: AutoML Package with Explanations and Markdown Reports2020 · github.com · ▲5Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
Provide a CSV and a target field, generate a model and code to run it2019 · github.com · ▲172Provide an input CSV and a target field to predict, generate a model + code to run it. - minimaxir/automl-gs
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