Showing 2 open source projects for "3d graphs"

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  • 1
    PyG

    PyG

    Graph Neural Network Library for PyTorch

    PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. ...
    Downloads: 1 This Week
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  • 2
    MSI Kombustor

    MSI Kombustor

    Advanced OpenGL and Vulkan graphics card stress testing utility

    MSI Kombustor is a dedicated GPU stress-testing and benchmarking tool built on top of the popular FurMark engine. It is designed to push graphics cards to their thermal and stability limits, helping users verify cooling performance and overclocking reliability. With support for advanced 3D APIs like OpenGL and Vulkan, Kombustor can generate demanding rendering workloads that simulate real-world GPU pressure. The tool provides MSI users with an exclusive, streamlined interface for testing...
    Downloads: 101 This Week
    Last Update:
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