deepchecks / monitoring
Deepchecks Monitoring- Continuous Validation of ML Models & Data In Production.
β23Updated this week
Related projects: β
- π― OSS version of Deepchecks' monitoring platform, synced from https://github.com/deepchecks/monitoringβ14Updated this week
- PyCon Talks 2022 by Antoine Toubhansβ23Updated 2 years ago
- Awesome Orchest projects, both official and submitted by the community.β25Updated last year
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to productionβ¦β29Updated 9 months ago
- A software engineering framework to jump start your machine learning projectsβ35Updated 3 months ago
- β20Updated last year
- Render Jupyter Notebooks With Metaflow Cardsβ24Updated 2 years ago
- Using ChatGPT to build a Kedro ML pipeline and Streamlit frontendβ29Updated last year
- Drift detection module for machine learning pipelines.β20Updated last year
- A tutorial about RAG and Graph database at Pydata London 2024β27Updated 2 months ago
- A Python library for creating adversarial splitsβ13Updated 2 years ago
- A place to provide Coiled feedbackβ14Updated 2 months ago
- Accompanies the uncool MLOps workshopβ26Updated 2 years ago
- A proof-of-concept for a RAG to query the scikit-learn documentationβ18Updated last month
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fastβ16Updated 2 years ago
- ElasticSearch implementation of MlFlow tracking storeβ16Updated 3 years ago
- Kedro starter templates using Scikit-learn and optionally MLflowβ9Updated 9 months ago
- β20Updated this week
- HyPSTER - HyperParameter optimization on STERoidsβ19Updated this week
- Serverless OpenCV image manipulation app with Streamlitβ31Updated 3 months ago
- A streamlit component to embed Disqus in your applications.β11Updated 3 years ago
- Dvc + Streamlit = β€οΈβ40Updated 10 months ago
- Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documenβ¦β17Updated last year
- Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoMLβ41Updated 8 months ago
- Repository with code, notebook and slides for my PyData & PyConDE talk 2023 about Clean Coding practises.β12Updated last year
- β14Updated 2 weeks ago
- Enterprise Solution for Text Classification (using BERT)β10Updated last year
- Demonstration of how to perform continuous model monitoring on CML using Model Metrics and Evidently.ai dashboardsβ12Updated 5 months ago
- Prefect integrations for working with OpenAI.β36Updated 4 months ago
- A repository that showcases how you can use ZenML with Gitβ62Updated last month