Get your MLOps (Level 1) platform started and going fast.
Build Recommender System with PyTorch + Redis + Elasticsearch + Feast + Triton + Flask. Vector Recall, DeepFM Ranking and Web Application.
This repo contains a plugin for feast to run an offline store on Spark
A demo pipeline of using Redis as an online feature store with Feast for orchestration and Ray for training and model serving
This is a repository created to explore different tools and technologies related to feature stores to build and serve ML models.
An implementation of a recommender system pipeline using PyTorch
Developing feature engineering pipelines, building packages, automating tests, and creating FastAPI endpoints.
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