Search Results for "gpu benchmark"
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Showing 3 open source projects for "gpu benchmark"
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
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 an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot... -
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PyTorch Geometric Temporal
Spatiotemporal Signal Processing with Neural Machine Learning Models
The library consists of various dynamic and temporal geometric deep learning, embedding, and Spatio-temporal regression methods from a variety of published research papers. Moreover, it comes with an easy-to-use dataset loader, train-test splitter and temporal snaphot iterator for dynamic and temporal graphs. The framework naturally provides GPU support. It also comes with a number of benchmark datasets from the epidemiological forecasting, sharing economy, energy production and web traffic... -
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FFFF is the fastest Win32/OSX/Linux/IRIX Mandelbrot generator. Features OpenGL, realtime zoom, SSE/AltiVec QuadPixel, SSE2/3DNow! DualPixel calc, FPU per pixel calc, GPU asm (Fragment/Vertex) calc, multiprocessor support, and benchmarking. Opt asm code!
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