redis-applied-ai / redis-feast-gcpLinks
A demo of Redis Enterprise as the Online Feature Store deployed on GCP with Feast and NVIDIA Triton Inference Server.
☆15Updated 2 years ago
Alternatives and similar repositories for redis-feast-gcp
Users that are interested in redis-feast-gcp are comparing it to the libraries listed below
Sorting:
- Projects developed by Domino's R&D team☆76Updated 3 years ago
- demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions☆50Updated 2 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- This repository contains code samples for Vertex AI, including pipelines, metadata and more. Mainly with finance datasets.☆14Updated 2 years ago
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆71Updated 3 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
- Build your feature store with macros right within your dbt repository☆38Updated 2 years ago
- Delta reader for the Ray open-source toolkit for building ML applications☆46Updated last year
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆54Updated 9 months ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated 2 years ago
- Listens MLFlow model registry changes and deploy models based on configurations☆21Updated last year
- Three examples of recommendation system pipelines with NVIDIA Merlin and Redis☆59Updated last month
- Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model☆63Updated 3 years ago
- Machine Learning Projects with Flytekit☆36Updated 2 years ago
- real-time data + ML pipeline☆54Updated last week
- ☆30Updated 3 years ago
- A series of workshop modules introducing Feast feature store.☆19Updated 3 years ago
- Supporting materials/code examples for my course in data engineering for machine learning.☆38Updated 2 years ago
- End to End example integrating MLFlow and Seldon Core☆51Updated 4 years ago
- Code labs for Vertex AI☆46Updated 3 years ago
- Open Benchmarks for Evaluating the Performance of Feature Stores☆35Updated last year
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- ☆58Updated last year
- Best practices for engineering ML pipelines.☆35Updated 2 years ago
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.☆35Updated 3 years ago
- Demo repository to lambda-fy your dbt runs☆11Updated last year
- Demonstration of the Model Training as a CI/CD System in Vertex AI☆29Updated 3 years ago
- ☆17Updated 2 years ago
- ☆35Updated 2 weeks ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago