BLAS, compiler, profiling and scientific computing categories + TensorRT

PyTorchConference2025_GithubRepos.json

@@ -57,7 +57,7 @@
     {
         "repo_name": "BitBLAS",
         "repo_link": "https://github.com/microsoft/BitBLAS",
-        "category": "blas",
+        "category": "BLAS",
         "github_about_section": "BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment."
     }, 
     {
@@ -100,6 +100,14 @@
         "homepage_link": "https://docs.sglang.ai",
         "github_topic_closest_fit": "inference"
     },
+    {
+        "repo_name": "TensorRT",
+        "repo_link": "https://github.com/NVIDIA/TensorRT",
+        "category": "inference engine",
+        "github_about_section": "NVIDIA TensorRT is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.",
+        "homepage_link": "https://developer.nvidia.com/tensorrt",
+        "github_topic_closest_fit": "inference"
+    },
     {
         "repo_name": "onnx",
         "repo_link": "https://github.com/onnx/onnx",
@@ -124,25 +132,44 @@
         "github_topic_closest_fit": "machine-learning"
     },
     {
-        "repo_link": "https://github.com/jax-ml/jax",
         "repo_name": "jax",
+        "repo_link": "https://github.com/jax-ml/jax",
+        "category": "scientific computing",
         "github_about_section": "Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more",
         "homepage_link": "https://docs.jax.dev",
-        "github_topic_closest_fit": "jax"
+        "github_topic_closest_fit": "scientific-computing"
+    },
+    {
+        "repo_name": "numpy",
+        "repo_link": "https://github.com/numpy/numpy",
+        "category": "scientific computing",
+        "github_about_section": "The fundamental package for scientific computing with Python.",
+        "homepage_link": "https://numpy.org",
+        "github_topic_closest_fit": "scientific-computing"
+    },
+    {
+        "repo_name": "scipy",
+        "repo_link": "https://github.com/scipy/scipy",
+        "category": "scientific computing",
+        "github_about_section": "SciPy library main repository",
+        "homepage_link": "https://scipy.org",
+        "github_topic_closest_fit": "scientific-computing"
+    },
+    {
+        "repo_name": "numba",
+        "repo_link": "https://github.com/numba/numba",
+        "category": "compiler",
+        "github_about_section": "NumPy aware dynamic Python compiler using LLVM",
+        "homepage_link": "https://numba.pydata.org",
+        "github_topic_closest_fit": "compiler"
     },
     {
-        "repo_link": "https://github.com/llvm/llvm-project",
         "repo_name": "llvm-project",
+        "repo_link": "https://github.com/llvm/llvm-project",
+        "category": "compiler",
         "github_about_section": "The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.",
         "homepage_link": "http://llvm.org",
-        "category": "compiler"
-    },
-    {
-        "repo_link": "https://github.com/NVIDIA/TensorRT",
-        "repo_name": "TensorRT",
-        "github_about_section": "NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.",
-        "homepage_link": "https://developer.nvidia.com/tensorrt",
-        "github_topic_closest_fit": "inference"
+        "github_topic_closest_fit": "compiler"
     },
     {
         "repo_link": "https://github.com/pytorch/ao",
@@ -190,10 +217,35 @@
         "category": "kernels"
     },
     {
-        "repo_link": "https://github.com/AMDResearch/intelliperf",
         "repo_name": "intelliperf",
+        "repo_link": "https://github.com/AMDResearch/intelliperf",
+        "category": "performance",
+        "homepage_link": "https://arxiv.org/html/2508.20258v1",
         "github_about_section": "Automated bottleneck detection and solution orchestration",
-        "github_topic_closest_fit": "performance"
+        "github_topic_closest_fit": "profiling"
+    },
+    {
+        "repo_name": "omnitrace",
+        "repo_link": "https://github.com/ROCm/omnitrace",
+        "category": "performance testing",
+        "github_about_section": "Omnitrace: Application Profiling, Tracing, and Analysis",
+        "homepage_link": "https://rocm.docs.amd.com/projects/omnitrace/en/docs-6.2.4",
+        "github_topic_closest_fit": "profiling"
+    },
+    {
+        "repo_name": "hatchet",
+        "repo_link": "https://github.com/LLNL/hatchet",
+        "category": "performance",
+        "github_about_section": "Graph-indexed Pandas DataFrames for analyzing hierarchical performance data",
+        "homepage_link": "https://llnl-hatchet.readthedocs.io",
+        "github_topic_closest_fit": "profiling"
+    },
+    {
+        "repo_name": "cupti",
+        "repo_link": "https://github.com/cwpearson/cupti",
+        "category": "performance",
+        "github_about_section": "Profile how CUDA applications create and modify data in memory.",
+        "github_topic_closest_fit": "profiling"
     },
     {
         "repo_link": "https://github.com/letta-ai/letta",
@@ -326,17 +378,10 @@
     {
         "repo_link": "https://github.com/ROCm/ROCm",
         "repo_name": "ROCm",
-        "github_about_section": "AMD ROCm™ Software - GitHub Home",
+        "github_about_section": "AMD ROCm Software - GitHub Home",
         "homepage_link": "https://rocm.docs.amd.com",
         "github_topic_closest_fit": "documentation"
     },
-    {
-        "repo_link": "https://github.com/ROCm/omnitrace",
-        "repo_name": "omnitrace",
-        "github_about_section": "Omnitrace: Application Profiling, Tracing, and Analysis",
-        "homepage_link": "https://rocm.docs.amd.com/projects/omnitrace/en/docs-6.2.4/",
-        "github_topic_closest_fit": "performance-analysis"
-    },
     {
         "repo_name": "ZLUDA",
         "repo_link": "https://github.com/vosen/ZLUDA",
@@ -361,20 +406,6 @@
         "homepage_link": "https://portablecl.org",
         "github_topic_closest_fit": "opencl"
     },
-    {
-        "repo_link": "https://github.com/cwpearson/cupti",
-        "repo_name": "cupti",
-        "github_about_section": "Profile how CUDA applications create and modify data in memory.",
-        "category": "profiler"
-    },
-    {
-        "repo_link": "https://github.com/LLNL/hatchet",
-        "repo_name": "hatchet",
-        "github_about_section": "Graph-indexed Pandas DataFrames for analyzing hierarchical performance data",
-        "homepage_link": "https://llnl-hatchet.readthedocs.io",
-        "github_topic_closest_fit": "performance",
-        "category": "profiler"
-    },
     {
         "repo_link": "https://github.com/toyaix/triton-runner",
         "repo_name": "triton-runner",
@@ -395,29 +426,6 @@
         "homepage_link": "https://meta-pytorch.org/tritonparse/",
         "github_topic_closest_fit": "triton"
     },
-    {
-        "repo_link": "https://github.com/numpy/numpy",
-        "repo_name": "numpy",
-        "github_about_section": "The fundamental package for scientific computing with Python.",
-        "homepage_link": "https://numpy.org",
-        "github_topic_closest_fit": "python",
-        "category": "python library"
-    },
-    {
-        "repo_link": "https://github.com/scipy/scipy",
-        "repo_name": "scipy",
-        "github_about_section": "SciPy library main repository",
-        "homepage_link": "https://scipy.org",
-        "github_topic_closest_fit": "python",
-        "category": "python library"
-    },
-    {
-        "repo_link": "https://github.com/numba/numba",
-        "repo_name": "numba",
-        "github_about_section": "NumPy aware dynamic Python compiler using LLVM",
-        "homepage_link": "https://numba.pydata.org/",
-        "github_topic_closest_fit": "compiler"
-    },
     {
         "repo_link": "https://github.com/Lightning-AI/lightning-thunder",
         "repo_name": "lightning-thunder",
@@ -624,7 +632,7 @@
     {
         "repo_link": "https://github.com/AMD-AGI/hipBLASLt",
         "repo_name": "hipBLASLt",
-        "category": "blas",
+        "category": "BLAS",
         "github_about_section": "hipBLASLt is a library that provides general matrix-matrix operations with a flexible API and extends functionalities beyond a traditional BLAS library",
         "homepage_link": "https://rocm.docs.amd.com/projects/hipBLASLt/en/latest/index.html"
     },
@@ -807,7 +815,7 @@
     {
         "repo_link": "https://github.com/ROCm/hipBLAS",
         "repo_name": "hipBLAS",
-        "category": "blas",
+        "category": "BLAS",
         "github_about_section": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
         "homepage_link": "https://github.com/ROCm/rocm-libraries",
         "github_topic_closest_fit": "hip"