用于表格数据上的AutoML的Python包,具有特征工程、超参数调优、简化和自动文档

mljar 开源项目推荐(17 个)
mljar 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 17
GitHub 共 17 个仓库,已全部展示Impress your boss with interactive Decision Tree visualization
AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
Explore variables in Jupyter notebooks
Package Manager is a JupyterLab extension that simplifies managing Python packages directly within your notebooks
Example Jupyter Notebooks showing how to use Mercury framework
Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application
MLJAR Studio Desktop Application
RunMercury.com website with Mercury framework documentation
Amazing apps build from Python notebooks with Mercury
Compare AI on data analysis tasks
Wine 🍷 Dataset Exploration, XGBoost Regression, Hyperparameter Tuning with Optuna & AutoML
AutoML in HR: Predict Employee Attrition
AutoML Libraries for training multiple ML models in one go with less code.
Dockerfile for an image containing MLJar compatible with VAST.ai
AutoML predictive maintenance PoC: mljar-supervised leaderboard + LightGBM compiled to JavaScript. Machine-failure prediction that runs live in your browser (UCI AI4I 2020).
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 17 个项目;原始页面见 https://github.com/topics/mljar。
- 该话题在 GitHub 上共有 17 个仓库, 本站收录的是其中最热门的 17 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 17 个项目累计 4406 Star,覆盖 5 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。