1 个仓库
Awesome GitHub RepositoriesNeural Network Acceleration
GPU-optimized kernels and primitives specifically designed to accelerate deep learning operations on geometric data.
Distinct from Geometry Processing: Focuses on the AI acceleration aspect (attention, multiplication) rather than general mesh manipulation or spatial math.
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Awesome Neural Network Acceleration 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
NVIDIA provides optimized CUDA kernels for triangle attention and triangle multiplication to speed up processing of 3D data.
C++caffecomputer-visiondeep-learning
