2 个仓库
Awesome GitHub RepositoriesDistributed NumPy Workflows
Execution of NumPy API operations distributed across multiple GPU nodes without modifying source code.
Distinct from NumPy-Compatible Frameworks: Specifically focuses on the distributed execution of the NumPy API, not just NumPy compatibility.
Explore 2 awesome GitHub repositories matching scientific & mathematical computing · Distributed NumPy Workflows. Refine with filters or upvote what's useful.
Awesome Distributed NumPy Workflows GitHub Repositories
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- dusty-nv/jetson-inference
dusty-nv/jetson-inference
8,734在 GitHub 上查看jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti
Executes NumPy API operations across multiple GPUs and nodes to handle large-scale numerical computing.
C++caffecomputer-visiondeep-learning - nvidia/isaac-gr00t
NVIDIA/Isaac-GR00T
6,222在 GitHub 上查看Runs existing NumPy code unchanged across thousands of GPUs on multiple nodes.
Jupyter Notebook
