https://www.youtube.com/watch?v=JQYP2l8x6oQ

PyTorchConference2025_GithubRepos.json

@@ -850,7 +850,7 @@
     "homepage_link": "https://triton-runner.org"
   },
   {
-    "repo_name": "",
+    "repo_name": "distributed-training-guide",
     "repo_link": "https://github.com/LambdaLabsML/distributed-training-guide",
     "github_about_section": "Best practices & guides on how to write distributed pytorch training code"
   },
@@ -870,5 +870,29 @@
     "repo_link": "https://github.com/hpcaitech/ColossalAI",
     "github_about_section": "Making large AI models cheaper, faster and more accessible",
     "homepage_link": "https://colossalai.org/"
+  },
+  {
+    "repo_name": "NeMo RL",
+    "repo_link": "https://github.com/nvidia-nemo/rl",
+    "github_about_section": "Scalable toolkit for efficient model reinforcement",
+    "homepage_link": "https://docs.nvidia.com/nemo/rl/latest/index.html"
+  },
+  {
+    "repo_name": "slime",
+    "repo_link": "https://github.com/THUDM/slime",
+    "github_about_section": "slime is an LLM post-training framework for RL Scaling.",
+    "homepage_link": "https://thudm.github.io/slime/"
+  },
+  {
+    "repo_name": "RAGEN",
+    "repo_link": "https://github.com/mll-lab-nu/RAGEN",
+    "github_about_section": "RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.",
+    "homepage_link": "https://ragen-ai.github.io/"
+  },
+  {
+    "repo_name": "slurm",
+    "repo_link": "https://github.com/SchedMD/slurm",
+    "github_about_section": "Slurm: A Highly Scalable Workload Manager",
+    "homepage_link": "https://slurm.schedmd.com/"
   }
 ]