Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
- data-analysis
- root-cern
- root
- c-plus-plus
Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Run MapReduce jobs on Hadoop or Amazon Web Services
nebulai's depin computing services
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
Python MapReduce library written in Cython. Visit us in #hadoopy on freenode. See the link below for documentation and tutorials.