evidentlyai / ml_observability_course
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
☆76Updated 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
- MLOps maturity assessment☆60Updated last year
- Demo for CI/CD in a machine learning project☆95Updated last year
- This is your friendly fitness assistant, which is a RAG applications built as a part of LLM Zoomcamp☆57Updated 4 months ago
- Incremental ML learning in the real-world☆63Updated 5 months ago
- A set of examples illustrating some possible use cases for NannyML☆19Updated last year
- Project bike sharing predictor☆71Updated 2 weeks ago
- Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow☆60Updated last year
- Learn how to create, develop, and maintain a state-of-the-art MLOps code base☆421Updated 3 weeks ago
- Reference code base for ML Engineering, Manning Publications☆124Updated 3 years ago
- Start building and deploying Python packages and Docker images for MLOps tasks.☆370Updated last month
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆69Updated 8 months ago
- 💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML☆120Updated last month
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆125Updated 8 months ago
- Engineering MLOps, published by Packt☆180Updated last year
- Practical Deep Learning at Scale with MLFlow, published by Packt☆159Updated last year
- A repository for all ZenML projects that are specific production use-cases.☆235Updated 3 weeks ago
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆130Updated last year
- This repository will contain the presentation and python jupyter notebooks for the DataHack Summit 2024 conference talk, Improving Real-w…☆101Updated 3 months ago
- Example code and notebooks related to mlflow, llmops, etc.☆41Updated 6 months ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆165Updated 4 months ago
- Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.☆445Updated last month
- Practical guide to build end-to-end machine learning pipeline and deploy your model in production,☆63Updated last year
- MLOps stack example using Airflow, MLflow and other popular tools.☆44Updated 2 years ago
- Chat with your own data - LLM+RAG workshop☆181Updated last month
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)☆138Updated last year
- Repository with code examples of mlflow☆66Updated this week
- LLM-powered RAG Question Answering Slack bot for DataTalksClub Zoomcamps☆52Updated 3 months ago
- How to serve ML predictions 100x faster☆53Updated 5 months ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆47Updated 3 years ago
- Demo Computer Vision Project☆61Updated last year