eurybia

Model Monitor

An open source Python library to monitor model drift and validate data before deployment.

⚓ Eurybia monitors model drift over time and securizes model deployment with data validation

GitHub

205 stars
6 watching
25 forks
Language: Jupyter Notebook
last commit: almost 2 years ago
Linked from 1 awesome list

data-driftdata-validationdatadrift-classifierdomain-classifierdriftdrift-detectionhtml-reportmachine-learningmodel-driftmodel-monitoringproduction-machine-learningpython

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
nannyml/nannymlAn open-source Python library that enables post-deployment model performance estimation and monitoring without access to target labels.1,998
mi2datalab/pybreakdownA Python implementation of a method to explain the predictions of machine learning models42
ebhy/budgetmlSimplifies deployment of machine learning models to production-ready endpoints with minimal configuration and cost.1,341
ifca-advanced-computing/frourosA Python library that detects drifts in machine learning systems197
afriemann/simple_modelA lightweight model framework for validating and serializing data.2
pcmdi/pcmdi_metricsA package providing tools and metrics for evaluating Earth system models104
jaimegildesagredo/boobyA Python library for defining and validating data structures with built-in support for complex data models and relationships.176
dani3l0/statusA lightweight system monitoring tool that provides real-time information about a Linux server's status and performance170
freedomintelligence/mllm-benchEvaluates and compares the performance of multimodal large language models on various tasks56
ing-bank/popmonA tool for monitoring data stability and detecting changes over time499
modflowpy/flopyA Python package to create and run MODFLOW-based models529
yuweihao/mm-vetEvaluates the capabilities of large multimodal models using a set of diverse tasks and metrics274
adebayoj/fairmlAn auditing toolbox to assess the fairness of black-box predictive models361
tensorflow/model-analysisEvaluates and visualizes the performance of machine learning models.1,258
mpas-dev/mpas-analysisProvides tools and analysis for understanding the behavior of large-scale climate models like MPAS within the E3SM framework.55