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Open-source alternatives to Vuda
14 open-source projects similar to jgbit/vuda, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Vuda alternative.
- dusty-nv/jetson-inference
dusty-nv/jetson-inference
8,734View on GitHubjetson-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
C++caffecomputer-visiondeep-learning - nvidia/tensorrt
NVIDIA/TensorRT
13,076View on GitHubTensorRT is a deep learning inference engine and software development kit designed to optimize and deploy neural networks for high-performance execution on NVIDIA GPUs. It functions as a GPU acceleration framework that reduces latency and increases throughput for trained models during production deployment. The toolkit imports models from the Open Neural Network Exchange format and transforms them into optimized engines. It utilizes graph-based model optimization, layer-fusion kernel generation, and precision-based quantization to convert floating point weights into lower precision formats.
C++deep-learninggpu-accelerationinference - lammps/lammps
lammps/lammps
2,783View on GitHubThis project is a parallel simulation engine and molecular dynamics simulator designed to model the physical movements of atoms and molecules. It functions as an interatomic potential framework for calculating forces between particles and a materials analysis tool for computing thermodynamic, structural, and transport properties of solids and fluids. The engine is distinguished by its high-performance computing capabilities, utilizing spatial-domain decomposition and message-passing interface communication to distribute workloads across processors. It supports multi-backend GPU acceleration v
C++kokkoslammpsmolecular-dynamics
