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[GitHub Trending] cupy/cupy

7 relevance
Score Breakdown
technical depth
8
novelty
5
actionability
8
community
9
strategic
5
personal
6

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GPU-accelerated NumPy/SciPy, highly actionable for data engineering but not novel.

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NumPy & SciPy for GPU. Contribute to cupy/cupy development by creating an account on GitHub.
Summary

CuPy v13+ provides a drop-in NumPy/SciPy replacement for GPU-accelerated Python, supporting both NVIDIA CUDA (12.x/13.x) and AMD ROCm 7.0 (experimental). It includes low-level CUDA features like RawKernels, Streams, and direct Runtime API calls, and now bundles cuSignal for GPU-accelerated signal processing. Installation is available via pip, conda-forge, or Docker, with pre-built wheels for Linux and Windows.

Author

cupy