feature-store · GitHub Topics

feast-dev / feast

#计算机科学#The Open Source Feature Store for AI/ML

翻译 - 机器学习功能库

机器学习 features big-data feature-store Python mlops data-engineering 数据科学 data-quality

Python 5.86 k

1 天前

feathr-ai / feathr

#计算机科学#Feathr – A scalable, unified data and AI engineering platform for enterprise

feature-engineering feature-store 人工智能 mlops data-engineering data-quality 机器学习 Apache Spark Azure 数据科学 feature-management

Scala 1.89 k

1 年前

featureform / featureform

#计算机科学#The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

翻译 - 矢量机器学习嵌入的存储引擎。

机器学习数据科学 vector-database embeddings-similarity embeddings Hacktoberfest feature-store mlops data-quality feature-engineering Python

Jupyter Notebook 1.86 k

1 天前

4paradigm / OpenMLDB

#计算机科学#OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

翻译 - OpenMLDB 是一个开源数据库，其设计和优化旨在为机器学习驱动的应用程序提供数据完整性和效率。除了 10 倍的 ML 应用落地体验，OpenMLDB 还提供了统一的计算和存储引擎，以降低开发和运维的复杂度和成本。

feature-engineering 机器学习 featurestore in-memory-database feature-store feature-extraction mlops

C++ 1.62 k

14 天前

logicalclocks / hopsworks

#计算机科学#Hopsworks - Data-Intensive AI platform with a Feature Store

feature-store Amazon Web Services Azure 数据科学 feature-engineering feature-management Google 云 governance 机器学习 mlops model-serving pyspark Python Serverless

Java 1.21 k

1 个月前

iusztinpaul / energy-forecasting

🌀 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 𝘤...

airflow batch-processing feature-store Actions mlops Python CI/CD Docker FastAPI Google 云 great-expectations ml-monitoring poetry Streamlit weights-and-biases data-versioning

Python 901

1 年前

featurestoreorg / serverless-ml-course

#计算机科学#Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

mlops Serverless course feature-engineering feature-store 机器学习 model-deployment

Jupyter Notebook 556

6 个月前

george0st / qgate-model

#计算机科学#ML/AI meta-model, used in MLRun/Iguazio/Nuclio, see qgate-sln-<MLRun | solution>

数据科学 feature-store mlops quality-assurance Testing 机器学习

Python 404

23 天前

alibaba / feathub

#计算机科学#FeatHub - A stream-batch unified feature store for real-time machine learning

apache-flink data-engineering 数据科学 feature-engineering feature-store 机器学习 streaming data data-quality mlops

Python 322

9 个月前

george0st / qgate-sln-mlrun

#计算机科学#MLRun/Iguazio/Nuclio quality gate solution. The solution checks a quality of MLRun implementation/delivery.

数据科学 feature-store mlops quality-assurance Testing 机器学习人工智能 e2e genai

Python 302

4 个月前

quintoandar / butterfree

A tool for building feature stores.

Python package data-engineering etl-framework etl feature-store 数据科学 pyspark

Python 295

12 天前

decodingml / personalized-recommender-course

👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.

feature-store mlops Python course recommender-system 教程

Jupyter Notebook 262

2 个月前

inlinedio / ikv-store

#计算机科学#High-performance key-value store for ML inference. 100x faster than Redis.

数据库 key-value-store 机器学习 cache feature-store Rust

Rust 217

10 个月前

redis-developer / redis-ai-resources

#Awesome#✨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.

Redis vector-search 人工智能 Awesome Lists ecosystem feature-store 机器学习 vector-database

Jupyter Notebook 180

15 天前

pixeltable / pixeltable

#大语言模型#Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.

大语言模型 genai 机器视觉人工智能数据科学数据库 multimodal vector-database 机器学习聊天机器人 feature-engineering feature-store mlops

Python 157

14 天前

Paulescu / bytewax-hopsworks-example

#计算机科学#Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)

bytewax feature-engineering feature-store 机器学习 real-time

Python 141

2 年前

serodriguez68 / designing-ml-systems-summary

#计算机科学#A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must...

人工智能 feature-engineering feature-store 机器学习 mlops model-selection responsible-ai responsible-ml

123

2 年前

logicalclocks / hops-examples

Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops

Tensorflow Apache Spark flink hive Jupyter Notebook feature-store

Jupyter Notebook 117

2 年前