redis-applied-ai / redis-feast-gcp
A demo of Redis Enterprise as the Online Feature Store deployed on GCP with Feast and NVIDIA Triton Inference Server.
☆15Updated last year
Alternatives and similar repositories for redis-feast-gcp:
Users that are interested in redis-feast-gcp are comparing it to the libraries listed below
- Projects developed by Domino's R&D team☆76Updated 2 years ago
- real-time data + ML pipeline☆54Updated last month
- demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions☆50Updated 2 years ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated 2 years ago
- A series of workshop modules introducing Feast feature store.☆19Updated 2 years ago
- Build your feature store with macros right within your dbt repository☆38Updated 2 years ago
- Open Benchmarks for Evaluating the Performance of Feature Stores☆35Updated last year
- ☆17Updated 2 years ago
- mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…☆25Updated 3 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 4 months ago
- Machine Learning Projects with Flytekit☆35Updated last year
- Open Source Model Risk Management☆23Updated 2 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documen…☆18Updated last year
- End to End example integrating MLFlow and Seldon Core☆51Updated 4 years ago
- example how to perform distributed bayesian optimisation (autoML) using optuna on metaflow☆10Updated 3 years ago
- ☆59Updated 3 years ago
- ☆2Updated 2 years ago
- Listens MLFlow model registry changes and deploy models based on configurations☆21Updated last year
- The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info☆16Updated 4 years ago
- Best practices for engineering ML pipelines.☆37Updated 2 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆53Updated 6 months ago
- Generate beautiful, testable documentation with Jupyter Notebooks☆21Updated 2 years ago
- Record matching and entity resolution at scale in Spark☆34Updated last year
- Kubeflow example of machine learning/model serving☆36Updated 5 years ago
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated 10 months ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model☆63Updated 3 years ago
- ☆37Updated 5 years ago
- Code labs for Vertex AI☆46Updated 3 years ago