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https://www.youtube.com/watch?v=uolCS_94c4A

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PyTorchConference2025_GithubRepos.json CHANGED
@@ -894,5 +894,45 @@
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  "repo_link": "https://github.com/SchedMD/slurm",
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  "github_about_section": "Slurm: A Highly Scalable Workload Manager",
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  "homepage_link": "https://slurm.schedmd.com/"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ]
 
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  "repo_link": "https://github.com/SchedMD/slurm",
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  "github_about_section": "Slurm: A Highly Scalable Workload Manager",
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  "homepage_link": "https://slurm.schedmd.com/"
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+ },
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+ {
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+ "repo_name": "Spurious Rewards",
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+ "repo_link": "https://github.com/ruixin31/Spurious_Rewards",
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+ "github_about_section": "Spurious Rewards: Rethinking Training Signals in RLVR",
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+ "homepage_link": "https://arxiv.org/pdf/2506.10947"
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+ },
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+ {
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+ "repo_name": "Qwen Code",
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+ "repo_link": "https://github.com/QwenLM/qwen-code",
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+ "github_about_section": "An open-source AI coding agent that lives in your terminal.",
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+ "homepage_link": "https://qwen.ai/qwencode"
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+ },
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+ {
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+ "repo_name": "Open Thoughts",
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+ "repo_link": "https://github.com/open-thoughts/open-thoughts",
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+ "github_about_section": "Fully open data curation for reasoning models",
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+ "homepage_link": "https://www.open-thoughts.ai/"
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+ },
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+ {
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+ "repo_name": "OLMOS",
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+ "repo_link": "https://github.com/allenai/olmes",
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+ "github_about_section": "Reproducible, flexible LLM evaluations"
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+ },
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+ {
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+ "repo_name": "SmolLM",
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+ "repo_link": "https://github.com/huggingface/smollm",
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+ "github_about_section": "Everything about the SmolLM and SmolVLM family of models"
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+ },
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+ {
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+ "repo_name": "smolagents",
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+ "repo_link": "https://github.com/huggingface/smolagents",
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+ "github_about_section": "smolagents: a barebones library for agents that think in code.",
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+ "homepage_link": "https://huggingface.co/docs/smolagents/"
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+ },
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+ {
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+ "repo_name": "Delta Learning",
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+ "repo_link": "https://github.com/scottgeng00/delta_learning",
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+ "github_about_section": "Code release for the paper \"The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains\"",
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+ "homepage_link": "https://arxiv.org/pdf/2507.06187"
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  }
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  ]