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oryxproject avatar

oryxproject/oryxArchived

0
View on GitHub↗
1,783 stars·401 forks·Java·Apache-2.0·9 viewsoryx.io↗

Oryx

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

Features

  • Machine Learning - Lambda architecture for real-time large-scale machine learning on Spark and Kafka.
  • Machine Learning and Analytics - Lambda architecture for real-time large-scale machine learning.
  • Machine Learning Frameworks - Lambda architecture framework for real-time large-scale machine learning.
  • Recommender Frameworks - Large-scale architecture for machine learning and predictive modeling.
  • Big Data Frameworks - Lambda architecture implementation for real-time machine learning.

Star history

Star history chart for oryxproject/oryxStar history chart for oryxproject/oryx

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does oryxproject/oryx do?

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

What are the main features of oryxproject/oryx?

The main features of oryxproject/oryx are: Machine Learning, Machine Learning and Analytics, Machine Learning Frameworks, Recommender Frameworks, Big Data Frameworks.

What are some open-source alternatives to oryxproject/oryx?

Open-source alternatives to oryxproject/oryx include: apache/flink — Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite… apache/spark — Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation… ai4finance-foundation/finrl — FinRL is a reinforcement learning framework designed for the development, training, and backtesting of automated… alexrudall/ruby-openai — OpenAI API + Ruby! 🤖❤️ GPT-5 & Realtime WebRTC compatible! aksnzhy/xlearn — High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization… azure/mmlspark — Mmlspark is a distributed framework for executing machine learning models, data transformations, and AI service…