Commit ·
07a471c
1
Parent(s): 5f2d42b
numba and AdaptiveCpp
Browse files
PyTorchConference2025_GithubRepos.json
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@@ -714,6 +714,7 @@
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{
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"repo_name": "numba",
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"repo_link": "https://github.com/numba/numba",
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"github_about_section": "NumPy aware dynamic Python compiler using LLVM",
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"homepage_link": "https://numba.pydata.org",
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"contributors_all": 430,
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@@ -736,6 +737,7 @@
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{
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"repo_name": "AdaptiveCpp",
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"repo_link": "https://github.com/AdaptiveCpp/AdaptiveCpp",
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"github_about_section": "Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!",
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"homepage_link": "https://adaptivecpp.github.io",
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"contributors_all": 93,
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{
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"repo_name": "numba",
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"repo_link": "https://github.com/numba/numba",
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"category": "compiler",
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"github_about_section": "NumPy aware dynamic Python compiler using LLVM",
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"homepage_link": "https://numba.pydata.org",
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"contributors_all": 430,
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{
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"repo_name": "AdaptiveCpp",
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"repo_link": "https://github.com/AdaptiveCpp/AdaptiveCpp",
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"category": "compiler",
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"github_about_section": "Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!",
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"homepage_link": "https://adaptivecpp.github.io",
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"contributors_all": 93,
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