#python #data_analysis #data_drift #data_science #deep_learning #jupyter_notebook #machine_learning #machinelearning #ml #mlops #model_monitoring #monitoring #performance_monitoring #visualization
https://github.com/NannyML/nannyml
https://github.com/NannyML/nannyml
GitHub
GitHub - NannyML/nannyml: nannyml: post-deployment data science in python
nannyml: post-deployment data science in python. Contribute to NannyML/nannyml development by creating an account on GitHub.
#python #data_drift #data_science #hacktoberfest #html_report #jupyter_notebook #machine_learning #machine_learning_operations #mlops #model_monitoring #pandas_dataframe #production_machine_learning
https://github.com/evidentlyai/evidently
https://github.com/evidentlyai/evidently
GitHub
GitHub - evidentlyai/evidently: Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any…
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics. - evidentlyai/evidently
#python #data_drift #data_science #data_validation #deep_learning #html_report #jupyter_notebook #machine_learning #ml #mlops #model_monitoring #model_validation #pandas_dataframe #pytorch
https://github.com/deepchecks/deepchecks
https://github.com/deepchecks/deepchecks
GitHub
GitHub - deepchecks/deepchecks: Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open…
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test ...