MLRun/Iguazio/Nuclio quality gate solution.
-
Updated
Jul 21, 2024 - Python
MLRun/Iguazio/Nuclio quality gate solution.
ML/AI meta-model, used in MLRun/Iguazio/Nuclio, see qgate-sln-<solution>
The Open Source Feature Store for Machine Learning
A tool for building feature stores.
The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
FeatHub - A stream-batch unified feature store for real-time machine learning
🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
This is a learning repository about Databricks and Recommendation Systems
A lightweight feature store for Pandas, DuckDB, or your choice of backend.
shows how to backfill Energy Consumption feature in a Feature Store (Hopsworks) using an orchestration tool (Prefect).
Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
Get started with our Solution Accelerator for Propensity Scoring to build effective propensity scoring pipelines that: Enable the persistence, discovery and sharing of features across various model training exercises Quickly generate models by leveraging industry best practices Track and analyze the various model iterations generated
Build your feature store with macros right within your dbt repository
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
Metastore Python SDK. Feature store and data catalog for machine learning.
This is a repository created to explore different tools and technologies related to feature stores to build and serve ML models.
Quality Aware Feature Store
ByteHub: making feature stores simple
Add a description, image, and links to the feature-store topic page so that developers can more easily learn about it.
To associate your repository with the feature-store topic, visit your repo's landing page and select "manage topics."