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

PyTorchConference2025_GithubRepos.json

@@ -1201,5 +1201,64 @@
     "repo_link": "https://github.com/facebook/openzl",
     "github_about_section": "A novel data compression framework",
     "homepage_link": "https://openzl.org"
+  },
+  {
+    "repo_name": "torchforge",
+    "repo_link": "https://github.com/meta-pytorch/torchforge",
+    "github_about_section": "PyTorch-native post-training at scale",
+    "homepage_link": "https://meta-pytorch.org/torchforge"
+  },
+  {
+    "repo_name": "open-instruct",
+    "repo_link": "https://github.com/allenai/open-instruct",
+    "github_about_section": "AllenAI's post-training codebase",
+    "homepage_link": "https://allenai.github.io/open-instruct/"
+  },
+  {
+    "repo_name": "prime-rl",
+    "repo_link": "https://github.com/PrimeIntellect-ai/prime-rl",
+    "github_about_section": "Agentic RL Training at Scale"
+  },
+  {
+    "repo_name": "SkyRL",
+    "repo_link": "https://github.com/NovaSky-AI/SkyRL",
+    "github_about_section": "SkyRL: A Modular Full-stack RL Library for LLMs",
+    "homepage_link": "https://docs.skyrl.ai/docs"
+  },
+  {
+    "repo_name": "OpenRLHF",
+    "repo_link": "https://github.com/OpenRLHF/OpenRLHF",
+    "github_about_section": "An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)",
+    "homepage_link": "https://openrlhf.readthedocs.io"
+  },
+  {
+    "repo_name": "PipelineRL",
+    "repo_link": "https://github.com/ServiceNow/PipelineRL",
+    "github_about_section": "A scalable asynchronous reinforcement learning implementation with in-flight weight updates.",
+    "homepage_link": "https://arxiv.org/abs/2509.19128"
+  },
+  {
+    "repo_name": "cosmos-predict2.5",
+    "repo_link": "https://github.com/nvidia-cosmos/cosmos-predict2.5",
+    "github_about_section": "Cosmos-Predict2.5, the latest version of the Cosmos World Foundation Models (WFMs) family, specialized for simulating and predicting the future state of the world in the form of video.",
+    "homepage_link": "https://research.nvidia.com/labs/cosmos-lab/cosmos-predict2.5"
+  },
+  {
+    "repo_name": "AReal",
+    "repo_link": "https://github.com/inclusionAI/AReaL",
+    "github_about_section": "The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.",
+    "homepage_link": "https://www.inclusion-ai.org/AReaL"
+  },
+  {
+    "repo_name": "RLinf",
+    "repo_link": "https://github.com/RLinf/RLinf",
+    "github_about_section": "RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI",
+    "homepage_link": "https://rlinf.readthedocs.io"
+  },
+  {
+    "repo_name": "ROLL",
+    "repo_link": "https://github.com/alibaba/ROLL",
+    "github_about_section": "An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models",
+    "homepage_link": "https://alibaba.github.io/ROLL/"
   }
 ]