KhiopsML / khiops
Khiops is an AutoML suite for supervised and unsupervised learning
☆43Updated this week
Alternatives and similar repositories for khiops:
Users that are interested in khiops are comparing it to the libraries listed below
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆100Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- Conformal Anomaly Detection☆40Updated this week
- A scikit-learn-compatible module for comparing imputation methods.☆136Updated 3 months ago
- Exploratory repository to study predictive survival analysis models☆32Updated last year
- 📊 Explain why metrics change by unpacking them☆34Updated 2 weeks ago
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆206Updated 3 months ago
- Frouros: an open-source Python library for drift detection in machine learning systems.☆207Updated 3 weeks ago
- A Python Library for Biquality Learning☆12Updated this week
- Implementation of tree-structured neural networks in PyTorch.☆14Updated 3 years ago
- A proof-of-concept for a RAG to query the scikit-learn documentation☆26Updated this week
- Scikit-learn tutorial on model inspection given in PyConDE & PyData Berlin 2022☆22Updated 2 years ago
- Competing Risks and Survival Analysis☆67Updated this week
- Tutorials and related talks given by the aeon community☆17Updated 3 months ago
- A toolbox for fair and explainable machine learning☆54Updated 7 months ago
- A library of Reversible Data Transforms☆123Updated this week
- 💊 Comparing causality methods in a fair and just way.☆138Updated 4 years ago
- Developmental tools to detect data drift☆14Updated 11 months ago
- ☆72Updated 4 months ago
- Hierarchical Time Series Forecasting with a familiar API☆223Updated last year
- Example usage of scikit-hts☆57Updated 2 years ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆140Updated 4 months ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆54Updated 4 months ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆102Updated 7 months ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆90Updated 3 weeks ago
- Explainable Boosted Scoring☆13Updated 4 months ago
- implementation of Cyclic Boosting machine learning algorithms☆89Updated 4 months ago
- Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.☆33Updated last year
- Repository for the explanation method Calibrated Explanations (CE)☆60Updated this week