Topic: feast Goto Github
Some thing interesting about feast
Some thing interesting about feast
feast,This repo contains a plugin for feast to run an offline store on Spark
Organization: adyen
feast,Feast Feature Store for scaling customer churn model.
User: ajnavneet
feast,Build Recommender System with PyTorch + Redis + Elasticsearch + Feast + Triton + Flask. Vector Recall, DeepFM Ranking and Web Application.
User: akiragy
feast,Feast as a combinator.ml component
Organization: combinator-ml
feast,Feast Feature Store Proof of Concept
User: cricci3
feast,This is a repository created to explore different tools and technologies related to feature stores to build and serve ML models.
User: elkinmt19
feast,Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
User: gokumohandas
feast,Feast Feature Store Tutorial
User: iamirmasoud
feast,Get your MLOps (Level 1) platform started and going fast.
User: jmeisele
feast,Searchable list of potential leavening agents to remove from your dwelling during Passover and the Feast of Unleavened Bread
Organization: leaveningagents
Home Page: https://leaveningagents.github.io
feast,A PHP script / API endpoint that will generate the Roman Catholic liturgical calendar for any given year, calculating the mobile festivities and the precedence of solemnities, feasts, memorials...
Organization: liturgical-calendar
feast,Backend for classifying, grouping, and improving queries from feast mobile app 🍝🍛🍔
User: lloydoad
Home Page: https://feast-server.herokuapp.com/
feast,Feast Client SDK for Node.js
User: michaelhirn
feast,Msg_Guard Project
User: oldentomato
feast,A demonstration of fraud detection model based on analyzing user's spending patterns 🕵️♀️
User: priya4607
feast,A demo of Redis Enterprise as the Online Feature Store deployed on GCP with Feast and NVIDIA Triton Inference Server.
Organization: redisventures
feast,A demo pipeline of using Redis as an online feature store with Feast for orchestration and Ray for training and model serving
Organization: redisventures
feast,Recommender systems became one of the essential areas in the machine learning field. Product recommendations are key to enhance customer exeperiance and help them to find the right product from huge corpus of products. When customer find the right product that are mostly like going to add the item to cart and which help in company revenue.
User: smithaupadhyaya
feast,Polish day off and feast utility classes
User: swojcicki
Home Page: http://swojcicki.github.io/polish-date-utils/
feast,Project shows simple workflow with creating features and tracking ml model.
User: szymonbcoding
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