MAIF / eurybia
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
☆206Updated 4 months ago
Alternatives and similar repositories for eurybia:
Users that are interested in eurybia are comparing it to the libraries listed below
- Frouros: an open-source Python library for drift detection in machine learning systems.☆210Updated last month
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆99Updated 2 years ago
- Streamline scikit-learn model comparison.☆146Updated 2 years ago
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated last year
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 2 years ago
- A general purpose recommender metrics library for fair evaluation.☆280Updated last year
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- DataFrame support for scikit-learn.☆63Updated last year
- Doubt your data, find bad labels.☆509Updated 8 months ago
- Phi_K correlation analyzer library☆162Updated last month
- Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of p…☆327Updated this week
- 📈🔍 Lets Python do AB testing analysis☆76Updated 11 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☆76Updated 2 years ago
- SHAP RFE(CV)-based validation for (multiclass) linear and tree-based models.☆134Updated this week
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆499Updated last month
- Train Gradient Boosting models that are both high-performance *and* Fair!☆103Updated 8 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆275Updated 2 months ago
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- Fast SHAP value computation for interpreting tree-based models☆535Updated last year
- 📊 Explain why metrics change by unpacking them☆37Updated 2 months ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆210Updated this week
- OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning ex…☆51Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆254Updated 5 months ago
- Data Analysis Baseline Library☆131Updated 4 months ago
- 🍦 Deployment tool for online machine learning models☆97Updated 2 years ago
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆387Updated 2 months ago
- Forecasting with Gradient Boosted Time Series Decomposition☆193Updated last year
- skops is a Python library helping you share your scikit-learn based models and put them in production☆468Updated last week