evidentlyai / ml_observability_courseLinks
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
☆95Updated last year
Alternatives and similar repositories for ml_observability_course
Users that are interested in ml_observability_course are comparing it to the libraries listed below
Sorting:
- MLOps maturity assessment☆61Updated 2 years ago
- Start building and deploying Python packages and Docker images for MLOps tasks.☆417Updated 5 months ago
- Learn how to create, develop, and maintain a state-of-the-art MLOps code base☆564Updated 2 weeks ago
- This is your friendly fitness assistant, which is a RAG applications built as a part of LLM Zoomcamp☆72Updated 11 months ago
- Engineering MLOps, published by Packt☆187Updated 2 years ago
- Demo for CI/CD in a machine learning project☆111Updated 2 years ago
- Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow☆63Updated last year
- Incremental ML learning in the real-world☆69Updated 5 months ago
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆134Updated 2 years ago
- A repository for all ZenML projects that are specific production use-cases.☆273Updated last week
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last year
- mlops template☆296Updated 7 months ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆168Updated 11 months ago
- Repository with code examples of mlflow☆208Updated 2 weeks ago
- Machine Learning for Imbalanced Data, published by Packt☆277Updated 7 months ago
- Demo Computer Vision Project☆63Updated 2 years ago
- Reference code base for ML Engineering, Manning Publications☆133Updated 4 years ago
- Basic and advanced MLflow examples for many ML flavors☆231Updated last year
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆48Updated 3 years ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆84Updated last year
- Practical guide to build end-to-end machine learning pipeline and deploy your model in production,☆71Updated last year
- Tutorials on creating a reproducible and maintainable data science project☆146Updated 3 years ago
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)☆145Updated 2 years ago
- How to serve ML predictions 100x faster☆58Updated last year
- LLM-powered RAG Question Answering Slack bot for DataTalksClub Zoomcamps☆57Updated 3 weeks ago
- Educational materials on deep learning by Weights & Biases☆638Updated 7 months ago
- Tutorials for the Hopsworks Platform☆301Updated 2 weeks ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated 10 months ago
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆129Updated last year