TylerHilbert commited on
Commit
1998b1d
·
1 Parent(s): a58f370
PyTorchConference2025_GithubRepos.json CHANGED
@@ -210,19 +210,20 @@
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  {
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  "repo_name": "kernels",
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  "repo_link": "https://github.com/huggingface/kernels",
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- "category": "kernels",
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  "github_about_section": "Load compute kernels from the Hub"
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  },
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  {
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  "repo_name": "kernels-community",
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  "repo_link": "https://github.com/huggingface/kernels-community",
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- "category": "kernels",
 
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  "github_about_section": "Kernel sources for https://huggingface.co/kernels-community"
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  },
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  {
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  "repo_name": "Liger-Kernel",
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  "repo_link": "https://github.com/linkedin/Liger-Kernel",
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- "category": "kernels",
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  "github_about_section": "Efficient Triton Kernels for LLM Training",
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  "homepage_link": "https://openreview.net/pdf?id=36SjAIT42G",
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  "github_topic_closest_fit": "triton"
@@ -230,13 +231,13 @@
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  {
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  "repo_name": "quack",
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  "repo_link": "https://github.com/Dao-AILab/quack",
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- "category": "kernels",
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  "github_about_section": "A Quirky Assortment of CuTe Kernels"
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  },
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  {
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  "repo_name": "reference-kernels",
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  "repo_link": "https://github.com/gpu-mode/reference-kernels",
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- "category": "kernels",
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  "github_about_section": "Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!",
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  "homepage_link": "https://gpumode.com",
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  "github_topic_closest_fit": "gpu"
@@ -452,6 +453,7 @@
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  {
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  "repo_name": "composable_kernel",
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  "repo_link": "https://github.com/ROCm/composable_kernel",
 
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  "github_about_section": "Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators",
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  "homepage_link": "https://rocm.docs.amd.com/projects/composable_kernel"
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  },
@@ -486,6 +488,7 @@
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  {
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  "repo_name": "flashinfer",
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  "repo_link": "https://github.com/flashinfer-ai/flashinfer",
 
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  "github_about_section": "FlashInfer: Kernel Library for LLM Serving",
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  "homepage_link": "https://flashinfer.ai",
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  "github_topic_closest_fit": "attention"
@@ -577,11 +580,6 @@
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  "github_about_section": "Build effective agents using Model Context Protocol and simple workflow patterns",
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  "github_topic_closest_fit": "ai-agents"
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  },
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- {
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- "repo_name": "Megakernels",
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- "repo_link": "https://github.com/HazyResearch/Megakernels",
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- "github_about_section": "kernels, of the mega variety"
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- },
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  {
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  "repo_name": "metaflow",
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  "repo_link": "https://github.com/Netflix/metaflow",
 
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  {
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  "repo_name": "kernels",
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  "repo_link": "https://github.com/huggingface/kernels",
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+ "category": "gpu kernels",
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  "github_about_section": "Load compute kernels from the Hub"
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  },
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  {
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  "repo_name": "kernels-community",
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  "repo_link": "https://github.com/huggingface/kernels-community",
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+ "category": "gpu kernels",
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+ "homepage_link": "https://huggingface.co/kernels-community",
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  "github_about_section": "Kernel sources for https://huggingface.co/kernels-community"
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  },
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  {
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  "repo_name": "Liger-Kernel",
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  "repo_link": "https://github.com/linkedin/Liger-Kernel",
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+ "category": "kernel examples",
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  "github_about_section": "Efficient Triton Kernels for LLM Training",
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  "homepage_link": "https://openreview.net/pdf?id=36SjAIT42G",
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  "github_topic_closest_fit": "triton"
 
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  {
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  "repo_name": "quack",
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  "repo_link": "https://github.com/Dao-AILab/quack",
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+ "category": "kernel examples",
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  "github_about_section": "A Quirky Assortment of CuTe Kernels"
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  },
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  {
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  "repo_name": "reference-kernels",
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  "repo_link": "https://github.com/gpu-mode/reference-kernels",
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+ "category": "kernel examples",
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  "github_about_section": "Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!",
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  "homepage_link": "https://gpumode.com",
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  "github_topic_closest_fit": "gpu"
 
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  {
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  "repo_name": "composable_kernel",
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  "repo_link": "https://github.com/ROCm/composable_kernel",
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+ "category": "gpu kernels",
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  "github_about_section": "Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators",
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  "homepage_link": "https://rocm.docs.amd.com/projects/composable_kernel"
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  },
 
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  {
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  "repo_name": "flashinfer",
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  "repo_link": "https://github.com/flashinfer-ai/flashinfer",
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+ "category": "gpu kernels",
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  "github_about_section": "FlashInfer: Kernel Library for LLM Serving",
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  "homepage_link": "https://flashinfer.ai",
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  "github_topic_closest_fit": "attention"
 
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  "github_about_section": "Build effective agents using Model Context Protocol and simple workflow patterns",
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  "github_topic_closest_fit": "ai-agents"
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  },
 
 
 
 
 
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  {
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  "repo_name": "metaflow",
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  "repo_link": "https://github.com/Netflix/metaflow",