Awesome Big Data
Section: Machine Learning · Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning.
Entry
Appears in 5 awesome lists
Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
Section: Machine Learning · Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning.
Section: Machine learning and Big Data analytics · Lambda architecture on Spark, Kafka for real-time large scale machine learning
Section: Java · Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
Section: Projects Using Spark · Lambda architecture platform built on Apache Spark and Apache Kafka with specialization for real-time large scale machine learning.
Section: 7. Big data · Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning. License: Apache 2 , .
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.
All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).
Unified analytics engine for large-scale data processing. In-memory cluster computing with high-level APIs in Python, Scala, Java, and R. Powers MLlib for distributed machine learning and Structured Streaming for real-time data. Apache 2.0 licensed.
Self-hosted ML experiment tracker designed to handle 10,000s of training runs with performant UI and SDK for programmatic access. Apache 2.0 licensed.
Unsupervised learning on graphs. PyTorch Geometric - Graph representation learning with PyTorch. DLG - Graph representation learning with TensorFlow.