openml / OpenMLLinks
Open Machine Learning
☆725Updated 3 weeks ago
Alternatives and similar repositories for OpenML
Users that are interested in OpenML are comparing it to the libraries listed below
Sorting:
- OpenML's Python API for a World of Data and More 💫☆321Updated last week
- H2O.ai Machine Learning Interpretability Resources☆491Updated 5 years ago
- Auto-WEKA☆334Updated 3 years ago
- ☆368Updated 4 years ago
- XAI - An eXplainability toolbox for machine learning☆1,213Updated last month
- Source code/webpage/demos for the What-If Tool☆986Updated last month
- Scalable Machine Learning with Dask☆944Updated 3 months ago
- PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.☆853Updated 10 months ago
- Bias Auditing & Fair ML Toolkit☆745Updated 3 weeks ago
- A curated list of research, applications and projects built using the H2O Machine Learning platform☆386Updated 2 years ago
- A library that implements fairness-aware machine learning algorithms☆125Updated 5 years ago
- H2Oai GPU Edition☆470Updated last year
- Library for exploring and validating machine learning data☆780Updated 6 months ago
- ☆762Updated 2 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆679Updated last year
- ☆919Updated 2 years ago
- Tuning hyperparams fast with Hyperband☆597Updated 7 years ago
- Data Analysis Baseline Library☆727Updated last year
- Code for "High-Precision Model-Agnostic Explanations" paper☆813Updated 3 years ago
- OpenML AutoML Benchmarking Framework☆446Updated 2 weeks ago
- A toolkit that streamlines and automates the generation of model cards☆442Updated 2 years ago
- scikit-learn compatible projects☆408Updated 9 months ago
- Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).☆527Updated 5 years ago
- moDel Agnostic Language for Exploration and eXplanation☆1,451Updated 2 months ago
- The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…☆172Updated 3 weeks ago
- Algorithms for explaining machine learning models☆2,606Updated 2 months ago
- Interpretability and explainability of data and machine learning models☆1,751Updated 10 months ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆164Updated 5 years ago
- Recipes for Driverless AI☆254Updated last week
- A machine learning package for streaming data in Python. The other ancestor of River.☆789Updated 2 years ago