deepchecks / monitoring-ossLinks
π― OSS version of Deepchecks' monitoring platform, synced from https://github.com/deepchecks/monitoring
β15Updated 5 months ago
Alternatives and similar repositories for monitoring-oss
Users that are interested in monitoring-oss are comparing it to the libraries listed below
Sorting:
- Chassis turns machine learning models into portable container images that can run just about anywhere.β86Updated last year
- Deepchecks Monitoring- Continuous Validation of ML Models & Data In Production.β27Updated 3 months ago
- A repository that showcases how you can use ZenML with Gitβ71Updated 3 months ago
- real-time data + ML pipelineβ53Updated last month
- Concept drift monitoring for HA model servers.β101Updated 2 years ago
- Get started DVC projectβ63Updated last year
- Projects developed by Domino's R&D teamβ77Updated 3 years ago
- ByteHub: making feature stores simpleβ61Updated 4 years ago
- Repository for the ML Technology Readiness Levels frameworkβ39Updated last year
- Kedro Plugin to support running workflows on Kubeflow Pipelinesβ56Updated 4 months ago
- π Stream inferences of real-time ML models in production to any data lake (Experimental)β80Updated 3 years ago
- π² A curated list of MLOps projects, tools and resourcesβ185Updated last year
- β30Updated 2 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning systemβ77Updated 2 years ago
- Retrieval Augmented Generation applicationsβ26Updated 2 years ago
- Capstone project for mlops zoomcampβ12Updated 3 years ago
- Dvc + Streamlit = β€οΈβ40Updated 2 years ago
- Practical examples of "Flawed Machine Learning Security" together with ML Security best practice across the end to end stages of the machβ¦β119Updated 3 years ago
- MLOps Python Libraryβ120Updated 3 years ago
- MLOps stack example using Airflow, MLflow and other popular tools.β45Updated 3 years ago
- An MLflow Provider Package for Apache Airflowβ26Updated 3 weeks ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.β103Updated this week
- ForML - A development framework and MLOps platform for the lifecycle management of data science projectsβ106Updated 2 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.β41Updated last month
- Convert monolithic Jupyter notebooks π into maintainable Ploomber pipelines. πβ79Updated last year
- Framework for building and maintaining self-updating prompts for LLMsβ64Updated last year
- β Eurybia monitors model drift over time and securizes model deployment with data validationβ214Updated last week
- MLOps Cookiecutter Template: A Base Project Structure for Secure Production ML Engineeringβ42Updated last year
- Python SDK for Galileo's NLP and CV Studio.β17Updated 2 weeks ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.β40Updated 10 months ago