Cleanup + truss and unsloth

PyTorchConference2025_GithubRepos.json

@@ -10,10 +10,8 @@
   {
     "repo_name": "ray",
     "repo_link": "https://github.com/ray-project/ray",
-    "category": "ai compute engine",
     "github_about_section": "Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.",
-    "homepage_link": "https://ray.io",
-    "github_topic_closest_fit": "machine-learning"
+    "homepage_link": "https://ray.io"
   },
   {
     "repo_name": "flashinfer-bench",
@@ -80,10 +78,8 @@
   {
     "repo_name": "AdaptiveCpp",
     "repo_link": "https://github.com/AdaptiveCpp/AdaptiveCpp",
-    "category": "compiler",
     "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!",
-    "homepage_link": "https://adaptivecpp.github.io",
-    "github_topic_closest_fit": "compiler"
+    "homepage_link": "https://adaptivecpp.github.io"
   },
   {
     "repo_name": "llvm-project",
@@ -96,24 +92,18 @@
   {
     "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"
+    "homepage_link": "https://numba.pydata.org"
   },
   {
     "repo_name": "nvcc4jupyter",
     "repo_link": "https://github.com/andreinechaev/nvcc4jupyter",
-    "category": "compiler",
     "github_about_section": "A plugin for Jupyter Notebook to run CUDA C/C++ code",
-    "homepage_link": "https://nvcc4jupyter.readthedocs.io",
-    "github_topic_closest_fit": "compiler"
-
+    "homepage_link": "https://nvcc4jupyter.readthedocs.io"
   },
   {
     "repo_name": "CU2CL",
     "repo_link": "https://github.com/vtsynergy/CU2CL",
-    "category": "CUDA / OpenCL",
     "github_about_section": "A prototype CUDA-to-OpenCL source-to-source translator, built on the Clang compiler framework",
     "homepage_link": "http://chrec.cs.vt.edu/cu2cl",
     "github_topic_closest_fit": "parallel-programming"
@@ -121,7 +111,6 @@
   {
     "repo_name": "cuda-python",
     "repo_link": "https://github.com/NVIDIA/cuda-python",
-    "category": "CUDA / OpenCL",
     "github_about_section": "CUDA Python: Performance meets Productivity",
     "homepage_link": "https://nvidia.github.io/cuda-python",
     "github_topic_closest_fit": "parallel-programming"
@@ -129,15 +118,13 @@
   {
     "repo_name": "OpenCL-SDK",
     "repo_link": "https://github.com/KhronosGroup/OpenCL-SDK",
-    "category": "CUDA / OpenCL",
     "github_about_section": "OpenCL SDK",
-    "homepage_link": "https://khronos.org/opencl/",
+    "homepage_link": "https://khronos.org/opencl",
     "github_topic_closest_fit": "parallel-programming"
   },
   {
     "repo_name": "pocl",
     "repo_link": "https://github.com/pocl/pocl",
-    "category": "CUDA / OpenCL",
     "github_about_section": "pocl - Portable Computing Language",
     "homepage_link": "https://portablecl.org",
     "github_topic_closest_fit": "parallel-programming"
@@ -145,7 +132,6 @@
   {
     "repo_name": "SYCL-Docs",
     "repo_link": "https://github.com/KhronosGroup/SYCL-Docs",
-    "category": "CUDA / OpenCL",
     "github_about_section": "SYCL Open Source Specification",
     "homepage_link": "https://khronos.org/sycl",
     "github_topic_closest_fit": "parallel-programming"
@@ -153,7 +139,6 @@
   {
     "repo_name": "triSYCL",
     "repo_link": "https://github.com/triSYCL/triSYCL",
-    "category": "CUDA / OpenCL",
     "github_about_section": "Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group",
     "homepage_link": "https://trisycl.github.io/triSYCL/Doxygen/triSYCL/html/index.html",
     "github_topic_closest_fit": "parallel-programming"
@@ -161,7 +146,6 @@
   {
     "repo_name": "ZLUDA",
     "repo_link": "https://github.com/vosen/ZLUDA",
-    "category": "CUDA / OpenCL",
     "github_about_section": "CUDA on non-NVIDIA GPUs",
     "homepage_link": "https://vosen.github.io/ZLUDA",
     "github_topic_closest_fit": "parallel-programming"
@@ -180,7 +164,7 @@
     "category": "inference engine",
     "github_about_section": "Official inference library for Mistral models",
     "homepage_link": "https://mistral.ai",
-    "github_topic_closest_fit": "llm-inference"
+    "github_topic_closest_fit": "inference"
   },
   {
     "repo_name": "ollama",
@@ -201,10 +185,8 @@
   {
     "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"
+    "homepage_link": "https://developer.nvidia.com/tensorrt"
   },
   {
     "repo_name": "vllm",
@@ -246,8 +228,7 @@
     "repo_link": "https://github.com/gpu-mode/reference-kernels",
     "category": "kernel examples",
     "github_about_section": "Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!",
-    "homepage_link": "https://gpumode.com",
-    "github_topic_closest_fit": "gpu"
+    "homepage_link": "https://gpumode.com"
   },
   {
     "repo_name": "pytorch",
@@ -284,8 +265,7 @@
     "repo_link": "https://github.com/pytorch/executorch",
     "category": "model compiler",
     "github_about_section": "On-device AI across mobile, embedded and edge for PyTorch",
-    "homepage_link": "https://executorch.ai",
-    "github_topic_closest_fit": "compiler"
+    "homepage_link": "https://executorch.ai"
   },
   {
     "repo_name": "cutlass",
@@ -416,18 +396,14 @@
   {
     "repo_name": "accelerate",
     "repo_link": "https://github.com/huggingface/accelerate",
-    "category": "training framework",
     "github_about_section": "A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support.",
-    "homepage_link": "https://huggingface.co/docs/accelerate",
-    "github_topic_closest_fit": "gpu-acceleration"
+    "homepage_link": "https://huggingface.co/docs/accelerate"
   },
   {
     "repo_name": "aiter",
     "repo_link": "https://github.com/ROCm/aiter",
-    "category": "ai tensor engine",
     "github_about_section": "AI Tensor Engine for ROCm",
-    "homepage_link": "https://rocm.blogs.amd.com/software-tools-optimization/aiter-ai-tensor-engine/README.html",
-    "github_topic_closest_fit": "gpu-acceleration"
+    "homepage_link": "https://rocm.blogs.amd.com/software-tools-optimization/aiter-ai-tensor-engine/README.html"
   },
   {
     "repo_name": "ao",
@@ -440,8 +416,7 @@
     "repo_name": "burn",
     "repo_link": "https://github.com/tracel-ai/burn",
     "github_about_section": "Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.",
-    "homepage_link": "https://burn.dev",
-    "github_topic_closest_fit": "machine-learning"
+    "homepage_link": "https://burn.dev"
   },
   {
     "repo_name": "ccache",
@@ -483,10 +458,8 @@
   {
     "repo_name": "DeepSpeed",
     "repo_link": "https://github.com/deepspeedai/DeepSpeed",
-    "category": "training framework",
     "github_about_section": "DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.",
-    "homepage_link": "https://deepspeed.ai",
-    "github_topic_closest_fit": "gpu-acceleration"
+    "homepage_link": "https://deepspeed.ai"
   },
   {
     "repo_name": "dstack",
@@ -523,15 +496,13 @@
     "repo_name": "hhvm",
     "repo_link": "https://github.com/facebook/hhvm",
     "github_about_section": "A virtual machine for executing programs written in Hack.",
-    "homepage_link": "https://hhvm.com",
-    "github_topic_closest_fit": "hack"
+    "homepage_link": "https://hhvm.com"
   },
   {
     "repo_name": "hip",
     "repo_link": "https://github.com/ROCm/hip",
     "github_about_section": "HIP: C++ Heterogeneous-Compute Interface for Portability",
-    "homepage_link": "https://rocmdocs.amd.com/projects/HIP",
-    "github_topic_closest_fit": "hip"
+    "homepage_link": "https://rocmdocs.amd.com/projects/HIP"
   },
   {
     "repo_name": "hipCUB",
@@ -582,16 +553,13 @@
   {
     "repo_name": "lightning-thunder",
     "repo_link": "https://github.com/Lightning-AI/lightning-thunder",
-    "category": "model compiler",
-    "github_about_section": "PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own.",
-    "github_topic_closest_fit": "compiler"
+    "github_about_section": "PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own."
   },
   {
     "repo_name": "LMCache",
     "repo_link": "https://github.com/LMCache/LMCache",
     "github_about_section": "Supercharge Your LLM with the Fastest KV Cache Layer",
-    "homepage_link": "https://lmcache.ai",
-    "github_topic_closest_fit": "inference"
+    "homepage_link": "https://lmcache.ai"
   },
   {
     "repo_name": "mcp-agent",
@@ -604,8 +572,7 @@
     "repo_name": "metaflow",
     "repo_link": "https://github.com/Netflix/metaflow",
     "github_about_section": "Build, Manage and Deploy AI/ML Systems",
-    "homepage_link": "https://metaflow.org",
-    "github_topic_closest_fit": "machine-learning"
+    "homepage_link": "https://metaflow.org"
   },
   {
     "repo_name": "MIOpen",
@@ -716,22 +683,19 @@
   {
     "repo_name": "rdma-core",
     "repo_link": "https://github.com/linux-rdma/rdma-core",
-    "github_about_section": "RDMA core userspace libraries and daemons",
-    "github_topic_closest_fit": "linux-kernel"
+    "github_about_section": "RDMA core userspace libraries and daemons"
   },
   {
     "repo_name": "rocFFT",
     "repo_link": "https://github.com/ROCm/rocFFT",
     "github_about_section": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
-    "homepage_link": "https://github.com/ROCm/rocm-libraries",
-    "github_topic_closest_fit": "hip"
+    "homepage_link": "https://github.com/ROCm/rocm-libraries"
   },
   {
     "repo_name": "ROCm",
     "repo_link": "https://github.com/ROCm/ROCm",
     "github_about_section": "AMD ROCm Software - GitHub Home",
-    "homepage_link": "https://rocm.docs.amd.com",
-    "github_topic_closest_fit": "documentation"
+    "homepage_link": "https://rocm.docs.amd.com"
   },
   {
     "repo_name": "rocm-systems",
@@ -742,22 +706,19 @@
     "repo_name": "rocPRIM",
     "repo_link": "https://github.com/ROCm/rocPRIM",
     "github_about_section": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
-    "homepage_link": "https://github.com/ROCm/rocm-libraries",
-    "github_topic_closest_fit": "hip"
+    "homepage_link": "https://github.com/ROCm/rocm-libraries"
   },
   {
     "repo_name": "rocRAND",
     "repo_link": "https://github.com/ROCm/rocRAND",
     "github_about_section": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
-    "homepage_link": "https://github.com/ROCm/rocm-libraries",
-    "github_topic_closest_fit": "hip"
+    "homepage_link": "https://github.com/ROCm/rocm-libraries"
   },
   {
     "repo_name": "rocSOLVER",
     "repo_link": "https://github.com/ROCm/rocSOLVER",
     "github_about_section": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
-    "homepage_link": "https://github.com/ROCm/rocm-libraries",
-    "github_topic_closest_fit": "rocm"
+    "homepage_link": "https://github.com/ROCm/rocm-libraries"
   },
   {
     "repo_name": "rocSPARSE",
@@ -821,8 +782,7 @@
     "repo_name": "Tensile",
     "repo_link": "https://github.com/ROCm/Tensile",
     "github_about_section": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
-    "homepage_link": "https://github.com/ROCm/rocm-libraries",
-    "github_topic_closest_fit": "gpu"
+    "homepage_link": "https://github.com/ROCm/rocm-libraries"
   },
   {
     "repo_name": "tflite-micro",
@@ -860,15 +820,13 @@
     "repo_name": "triton-runner",
     "repo_link": "https://github.com/toyaix/triton-runner",
     "github_about_section": "Multi-Level Triton Runner supporting Python, IR, PTX, and cubin.",
-    "homepage_link": "https://triton-runner.org",
-    "github_topic_closest_fit": "triton"
+    "homepage_link": "https://triton-runner.org"
   },
   {
     "repo_name": "tritonparse",
     "repo_link": "https://github.com/meta-pytorch/tritonparse",
     "github_about_section": "TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels",
-    "homepage_link": "https://meta-pytorch.org/tritonparse",
-    "github_topic_closest_fit": "triton"
+    "homepage_link": "https://meta-pytorch.org/tritonparse"
   },
   {
     "repo_name": "trl",
@@ -879,15 +837,18 @@
   {
     "repo_name": "truss",
     "repo_link": "https://github.com/basetenlabs/truss",
+    "category": "inference engine",
     "github_about_section": "The simplest way to serve AI/ML models in production",
     "homepage_link": "https://truss.baseten.co",
-    "github_topic_closest_fit": "machine-learning"
+    "github_topic_closest_fit": "inference"
   },
   {
     "repo_name": "unsloth",
     "repo_link": "https://github.com/unslothai/unsloth",
+    "category": "fine tuning",
     "github_about_section": "Fine-tuning & Reinforcement Learning for LLMs. Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.",
-    "homepage_link": "https://docs.unsloth.ai"
+    "homepage_link": "https://docs.unsloth.ai",
+    "github_topic_closest_fit": "fine-tuning"
   },
   {
     "repo_name": "verl",