feast-dev / feast-gcp-fraud-tutorialLinks
Resources backing the Feast fraud tutorial on GCP
☆14Updated 3 years ago
Alternatives and similar repositories for feast-gcp-fraud-tutorial
Users that are interested in feast-gcp-fraud-tutorial are comparing it to the libraries listed below
Sorting:
- Scaling Machine Learning in Three Week course in a collaboration with O'Reilly following the guidance of Adi Polak's book - Scaling Machi…☆23Updated 2 years ago
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…☆84Updated last year
- A workshop with several modules to help learn Feast, an open-source feature store☆92Updated 3 months ago
- Scaling Python Machine Learning☆50Updated 2 years ago
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆71Updated 3 years ago
- Orchestrate Spark Jobs from Kubeflow Pipelines and poll for the status.☆52Updated 3 years ago
- Friendly ML feature store☆45Updated 3 years ago
- Study notes and demos.☆12Updated last year
- Example repo to kickstart integration with mlflow pipelines.☆77Updated 2 years ago
- MLflow samples - deprecated☆22Updated 2 years ago
- Machine Learning Projects with Flytekit☆37Updated 2 years ago
- Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model☆67Updated 3 years ago
- Joining the modern data stack with the modern ML stack☆199Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Example of a scalable IoT data processing pipeline setup using Databricks☆32Updated 4 years ago
- How to evaluate the Quality of your Data with Great Expectations and Spark.☆31Updated 2 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆55Updated 3 months ago
- ☆27Updated 3 years ago
- Delta Lake examples☆228Updated last year
- ☆30Updated 2 years ago
- Source code for the MC technical blog post "Data Observability in Practice Using SQL"☆40Updated last year
- Building Big Data Pipelines with Apache Beam, published by Packt☆86Updated 2 years ago
- A Python PySpark Projet with Poetry☆24Updated 2 months ago
- Capturing model drift and handling its response - Example webinar☆108Updated 6 years ago
- Supporting materials/code examples for my course in data engineering for machine learning.☆38Updated 2 years ago
- Fake Pandas / PySpark DataFrame creator☆48Updated last year
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Reference code base for ML Engineering, Manning Publications☆131Updated 4 years ago
- A series of workshop modules introducing Feast feature store.☆19Updated 3 years ago
- Open Benchmarks for Evaluating the Performance of Feature Stores☆36Updated last year