aiter, LMCache, Mooncake, torchtitan and ao

PyTorchConference2025_GithubRepos.json

@@ -302,6 +302,7 @@
   {
     "repo_name": "aiter",
     "repo_link": "https://github.com/ROCm/aiter",
+    "category": "gpu kernels",
     "github_about_section": "AI Tensor Engine for ROCm",
     "homepage_link": "https://rocm.blogs.amd.com/software-tools-optimization/aiter-ai-tensor-engine/README.html",
     "contributors_all": 151,
@@ -312,6 +313,7 @@
   {
     "repo_name": "LMCache",
     "repo_link": "https://github.com/LMCache/LMCache",
+    "category": "inference",
     "github_about_section": "Supercharge Your LLM with the Fastest KV Cache Layer",
     "homepage_link": "https://lmcache.ai",
     "contributors_all": 152,
@@ -333,6 +335,7 @@
   {
     "repo_name": "Mooncake",
     "repo_link": "https://github.com/kvcache-ai/Mooncake",
+    "category": "inference",
     "github_about_section": "Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.",
     "homepage_link": "https://kvcache-ai.github.io/Mooncake",
     "github_topic_closest_fit": "inference",
@@ -344,7 +347,9 @@
   {
     "repo_name": "torchtitan",
     "repo_link": "https://github.com/pytorch/torchtitan",
+    "category": "training framework",
     "github_about_section": "A PyTorch native platform for training generative AI models",
+    "homepage_link": "https://arxiv.org/abs/2410.06511",
     "contributors_all": 145,
     "contributors_2025": 119,
     "contributors_2024": 43,
@@ -353,6 +358,7 @@
   {
     "repo_name": "ao",
     "repo_link": "https://github.com/pytorch/ao",
+    "category": "quantization",
     "github_about_section": "PyTorch native quantization and sparsity for training and inference",
     "homepage_link": "https://pytorch.org/ao",
     "github_topic_closest_fit": "quantization",