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Improved env command which understands modules. Used for the modular supercomputing software stack.
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Improved env command which understands modules. Used for the modular supercomputing software stack.
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Workshop - Interactive High-Performance Computing with Jupyter
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VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
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Microarchitectural benchmarks for optimizing compute throughput
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Goal of the project is to provide several algorithms to smooth the trajectories of persons a) to correct data uncertainty b) to remove swaying of heads and get paths of the real main direction of movement
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