MLBox is a powerful Automated Machine Learning python library.
☆1,536Aug 6, 2023Updated 2 years ago
Alternatives and similar repositories for MLBox
Users that are interested in MLBox are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,051Sep 11, 2025Updated 9 months ago
- Automated Machine Learning with scikit-learn☆8,114Apr 21, 2026Updated 2 months ago
- [UNMAINTAINED] Automated machine learning for analytics & production☆1,653Feb 10, 2021Updated 5 years ago
- An open source python library for automated feature engineering☆7,658Jun 17, 2026Updated last week
- AutoML library for deep learning☆9,321Nov 25, 2025Updated 7 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.☆1,266Jun 6, 2018Updated 8 years ago
- Hyper-parameter optimization for sklearn☆1,648Apr 15, 2025Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Apr 8, 2026Updated 2 months ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,151Jun 18, 2026Updated last week
- H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…☆7,495Updated this week
- TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows…☆2,275Jun 2, 2026Updated 3 weeks ago
- Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).☆528Feb 21, 2020Updated 6 years ago
- Automatic extraction of relevant features from time series:☆9,255Jun 8, 2026Updated 3 weeks ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,585Jun 8, 2026Updated 3 weeks ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,105Jun 22, 2026Updated last week
- Python implementations of the Boruta all-relevant feature selection method.☆1,629Nov 13, 2025Updated 7 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,397Feb 19, 2025Updated last year
- Sequential model-based optimization with a `scipy.optimize` interface☆2,830Feb 23, 2024Updated 2 years ago
- A library of sklearn compatible categorical variable encoders☆2,489May 25, 2026Updated last month
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,272Jun 11, 2026Updated 2 weeks ago
- ML-Ensemble – high performance ensemble learning☆867Nov 13, 2023Updated 2 years ago
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆547Jan 30, 2025Updated last year
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,997Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Lime: Explaining the predictions of any machine learning classifier☆12,143Jul 25, 2024Updated last year
- autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…☆170Oct 30, 2019Updated 6 years ago
- Low-code framework for building custom LLMs, neural networks, and other AI models☆11,722Jun 24, 2026Updated last week
- EvalML is an AutoML library written in python.☆849Jan 14, 2026Updated 5 months ago
- A game theoretic approach to explain the output of any machine learning model.☆25,563Jun 22, 2026Updated last week
- Fast and flexible AutoML with learning guarantees.☆3,455Nov 30, 2023Updated 2 years ago
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,366Updated this week
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆704Jan 20, 2021Updated 5 years ago
- Modin: Scale your Pandas workflows by changing a single line of code☆10,389Feb 10, 2026Updated 4 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆18,505Updated this week
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,537Apr 9, 2024Updated 2 years ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,354Jul 3, 2024Updated last year
- The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, a…☆26,741Updated this week
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,435Aug 20, 2024Updated last year
- Fast and Accurate ML in 3 Lines of Code☆10,504Jun 22, 2026Updated last week
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.☆13,619Apr 22, 2026Updated 2 months ago