featurestorebook / mlfs-book
O'Reilly book - Building Machine Learning Systems with a feature store: batch, real-time, and LLMs
β18Updated this week
Related projects β
Alternatives and complementary repositories for mlfs-book
- Develop and deploy a real-time feature pipeline in Python, using Bytewax π and Hopsworks Feature Store.β124Updated last year
- Reference code base for ML Engineering, Manning Publicationsβ122Updated 3 years ago
- Prescriptive guidance for building, deploying, and monitoring machine learning models with Azure Databricks using containers in line withβ¦β20Updated 3 months ago
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFloβ¦β75Updated last year
- Incremental ML learning in the real-worldβ59Updated 2 months ago
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)β138Updated last year
- β22Updated last year
- Scaling Machine Learning in Three Week course in a collaboration with O'Reilly following the guidance of Adi Polak's book - Scaling Machiβ¦β23Updated last year
- Here you can find all the datasets and notebooks linked to the Automated machine & deep learning course provided by O'Reillyβ38Updated 3 months ago
- Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring modelβ61Updated 3 years ago
- The repo associated with the Manning Publicationβ35Updated 2 months ago
- MLOps maturity assessmentβ57Updated last year
- β34Updated 3 months ago
- β19Updated 8 months ago
- Duke MIDS: Data Engineering and DataOps Courseβ58Updated last year
- Example repo to kickstart integration with mlflow pipelines.β73Updated last year
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.