Finished categories for later added repos.

PyTorchConference2025_GithubRepos.json

@@ -1072,64 +1072,68 @@
   {
     "repo_name": "wandb",
     "repo_link": "https://github.com/wandb/wandb",
+    "category": "ml visualization",
     "github_about_section": "The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.",
     "homepage_link": "https://wandb.ai"
   },
   {
     "repo_name": "aws-neuron-sdk",
     "repo_link": "https://github.com/aws-neuron/aws-neuron-sdk",
+    "category": "sdk",
     "github_about_section": "Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services",
     "homepage_link": "https://aws.amazon.com/ai/machine-learning/neuron"
   },
   {
     "repo_name": "onnxruntime",
     "repo_link": "https://github.com/microsoft/onnxruntime",
+    "category": "machine learning interoperability",
     "github_about_section": "ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator",
     "homepage_link": "https://onnxruntime.ai"
   },
   {
     "repo_name": "ort",
     "repo_link": "https://github.com/pykeio/ort",
+    "category": "machine learning interoperability",
     "github_about_section": "Fast ML inference & training for ONNX models in Rust",
     "homepage_link": "https://ort.pyke.io"
   },
   {
     "repo_name": "Triton-distributed",
     "repo_link": "https://github.com/ByteDance-Seed/Triton-distributed",
+    "category": "distributed computing",
     "github_about_section": "Distributed Compiler based on Triton for Parallel Systems",
     "homepage_link": "https://triton-distributed.readthedocs.io"
   },
   {
     "repo_name": "gemlite",
     "repo_link": "https://github.com/dropbox/gemlite",
+    "category": "gpu kernels",
     "github_about_section": "Fast low-bit matmul kernels in Triton"
   },
   {
     "repo_name": "cutile-python",
     "repo_link": "https://github.com/NVIDIA/cutile-python",
+    "category": "parallel computing",
     "github_about_section": "cuTile is a programming model for writing parallel kernels for NVIDIA GPUs",
     "homepage_link": "https://docs.nvidia.com/cuda/cutile-python"
   },
   {
     "repo_name": "tilus",
     "repo_link": "https://github.com/NVIDIA/tilus",
+    "category": "parallel computing",
     "github_about_section": "Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.",
     "homepage_link": "https://nvidia.github.io/tilus"
   },
   {
     "repo_name": "triton-windows",
     "repo_link": "https://github.com/woct0rdho/triton-windows",
+    "category": "parallel computing dsl",
     "github_about_section": "Fork of the Triton language and compiler for Windows support and easy installation"
   },
-  {
-    "repo_name": "triton-windows",
-    "repo_link": "https://github.com/triton-lang/triton-windows",
-    "github_about_section": "Triton with Windows support",
-    "homepage_link": "https://triton-lang.org"
-  },
   {
     "repo_name": "flash-linear-attention",
     "repo_link": "https://github.com/fla-org/flash-linear-attention",
+    "category": "gpu kernels",
     "github_about_section": "Efficient implementations of state-of-the-art linear attention models"
   }
 ]