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.
☆98Updated 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.☆423Updated 7 months ago
- This is your friendly fitness assistant, which is a RAG applications built as a part of LLM Zoomcamp☆77Updated last year
- Engineering MLOps, published by Packt☆188Updated last month
- Learn how to create, develop, and maintain a state-of-the-art MLOps code base☆599Updated last month
- A repository for all ZenML projects that are specific production use-cases.☆281Updated 2 months ago
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆134Updated 2 years ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆169Updated last year
- Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow☆64Updated last year
- Reference code base for ML Engineering, Manning Publications☆131Updated 4 years ago
- mlops template☆311Updated 9 months ago
- LLM-powered RAG Question Answering Slack bot for DataTalksClub Zoomcamps☆57Updated last month
- Demo for CI/CD in a machine learning project☆114Updated 2 years ago
- Chat with your own data - LLM+RAG workshop☆199Updated 11 months ago
- Repository with code examples of mlflow☆223Updated 2 months ago
- Incremental ML learning in the real-world☆69Updated 7 months ago
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)☆145Updated 2 years ago
- Tutorials for the Hopsworks Platform☆307Updated 2 weeks ago
- Machine Learning Engineering with MLflow, published by Packt☆117Updated last month
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last month
- Machine Learning for Imbalanced Data, published by Packt☆277Updated last month
- Code files for advanced LLM Course☆214Updated last year
- A set of examples illustrating some possible use cases for NannyML☆20Updated 2 years ago
- How to serve ML predictions 100x faster☆59Updated last year
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆89Updated last year
- Basic and advanced MLflow examples for many ML flavors☆238Updated last year
- A simple guide to MLOps through ZenML and its various integrations.☆187Updated last year
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆49Updated 3 years ago
- Real-time Feature Pipelines in Python ⚡☆282Updated last year
- Template repo for kickstarting recipes for regression use case☆54Updated 10 months ago