https://www.youtube.com/watch?v=ACxHFY_zUb8

PyTorchConference2025_GithubRepos.json

@@ -1456,5 +1456,57 @@
     "contributors_2025": 23,
     "contributors_2024": 9,
     "contributors_2023": 0
+  },
+  {
+    "repo_name": "torchchat",
+    "repo_link": "https://github.com/pytorch/torchchat",
+    "github_about_section": "Run PyTorch LLMs locally on servers, desktop and mobile"
+  },
+  {
+    "repo_name": "torchrec",
+    "repo_link": "https://github.com/meta-pytorch/torchrec",
+    "github_about_section": "Pytorch domain library for recommendation systems",
+    "homepage_link": "https://meta-pytorch.org/torchrec/"
+  },
+  {
+    "repo_name": "torchcodec",
+    "repo_link": "https://github.com/meta-pytorch/torchcodec",
+    "github_about_section": "PyTorch media decoding and encoding",
+    "homepage_link": "https://meta-pytorch.org/torchcodec/stable/index.html"
+  },
+  {
+    "repo_name": "litserve",
+    "repo_link": "https://github.com/Lightning-AI/litserve",
+    "github_about_section": "A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.",
+    "homepage_link": "https://lightning.ai/litserve"
+  },
+  {
+    "repo_name": "deepinv",
+    "repo_link": "https://github.com/deepinv/deepinv",
+    "github_about_section": "DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning",
+    "homepage_link": "https://deepinv.github.io/deepinv/"
+  },
+  {
+    "repo_name": "doctr",
+    "repo_link": "https://github.com/mindee/doctr",
+    "github_about_section": "docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.",
+    "homepage_link": "https://mindee.github.io/doctr/"
+  },
+  {
+    "repo_name": "trainer",
+    "repo_link": "https://github.com/kubeflow/trainer",
+    "github_about_section": "Distributed AI Model Training and LLM Fine-Tuning on Kubernetes",
+    "homepage_link": "https://www.kubeflow.org/docs/components/trainer/"
+  },
+  {
+    "repo_name": "FlagGems",
+    "repo_link": "https://github.com/flagos-ai/FlagGems",
+    "github_about_section": "FlagGems is an operator library for large language models implemented in the Triton Language."
+  },
+  {
+    "repo_name": "litgpt",
+    "repo_link": "https://github.com/Lightning-AI/litgpt",
+    "github_about_section": "20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.",
+    "homepage_link": "https://lightning.ai/"
   }
 ]