2 个仓库
Awesome GitHub RepositoriesPython GPU Development
Enables Python developers to build and run GPU-accelerated applications directly in the Python programming language.
Distinct from GPU Acceleration: Distinct from GPU Acceleration: specifically focuses on enabling Python developers to build GPU-accelerated applications, not general parallel computing libraries.
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Awesome Python GPU Development GitHub Repositories
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- nvidia/isaac-gr00t
NVIDIA/Isaac-GR00T
6,222在 GitHub 上查看Enables Python developers to build and run GPU-accelerated applications directly in the Python programming language.
Jupyter Notebook - nvidia/cuda-python
NVIDIA/cuda-python
3,170在 GitHub 上查看cuda-python provides low-level Python bindings for the CUDA Driver and Runtime APIs. It serves as a programmatic wrapper for controlling device memory, managing hardware toolchains, and orchestrating execution graphs on NVIDIA GPUs, allowing for the compilation and launching of parallel kernels directly from Python. The project enables the development of SIMT kernels and the execution of mathematical algorithms on device memory. It integrates pre-compiled bytecode as custom operators and interfaces with accelerated device libraries to access low-level hardware functions without leaving the la
Enables developers to write and execute high-performance GPU-accelerated applications directly within Python.
Cython
