feast-dev / feast-workshop
A workshop with several modules to help learn Feast, an open-source feature store
☆87Updated last month
Alternatives and similar repositories for feast-workshop:
Users that are interested in feast-workshop are comparing it to the libraries listed below
- Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model☆63Updated 3 years ago
- Example repo to kickstart integration with mlflow pipelines.☆76Updated 2 years ago
- Orchestrate Spark Jobs from Kubeflow Pipelines and poll for the status.☆52Updated 2 years ago
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆71Updated 3 years ago
- End to End example integrating MLFlow and Seldon Core☆51Updated 4 years ago
- Joining the modern data stack with the modern ML stack☆195Updated last year
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…☆81Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆254Updated 4 months ago
- Code samples for the Effective Data Science Infrastructure book☆114Updated last year
- This repository contains all tutorials for Apache Spark, Delta Lake, Koalas, MLflow, and other.☆15Updated 4 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆235Updated last year
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆231Updated last year
- Template repo for kickstarting recipes for regression use case☆54Updated 2 months ago
- Capturing model drift and handling its response - Example webinar☆107Updated 5 years ago
- Code snippets for Data Engineering Design Patterns book☆73Updated last month
- End to end MLRun demos☆92Updated 2 months ago
- [DEPRECATED] Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template☆110Updated 2 years ago
- Concept drift monitoring for HA model servers.☆101Updated last year
- [WIP] Examples for the Intro to ML with Kubeflow book☆205Updated 2 years ago
- ☆30Updated 2 years ago
- Building ML Blocks with Kubeflow Orchestration with Feature Store.☆9Updated 3 years ago
- MLOps maturity assessment☆60Updated last year
- Scaling Python Machine Learning☆45Updated last year
- Food for thoughts around data contracts☆24Updated this week
- The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.☆52Updated 2 years ago
- demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions☆50Updated 2 years ago
- Export and import MLflow experiments, runs or registered models☆81Updated 2 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆390Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆34Updated last year
- ☆55Updated last year