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Putting the finishing touches on my robot army
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Putting the finishing touches on my robot army
849 followers · 0 following

Achievements

Achievement: Starstruckx3Achievement: YOLOAchievement: Pair Extraordinairex3Achievement: Public SponsorAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Starstruckx3Achievement: YOLOAchievement: Pair Extraordinairex3Achievement: Public SponsorAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

Organizations

@facebookresearch @pytorch @fairinternal @mlcommons @Hugging-Face-Supporter @pytorch-labs @llm-efficiency-challenge @gpu-mode

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msaroufim/README.md

Hi! I'm Mark and I'm interested in making GPU programming more accessible. Broadly speaking I think there's 3 ways of doing this

  1. Building better tools: which is why I contribute to https://github.com/pytorch/pytorch
  2. Upleveling communities: which is why I maintain the GPU MODE community discord.gg/gpumode
  3. Getting LLMs to understand how GPUs work: which is why I've been working on a community project to solve this once and for all https://gpu-mode.github.io/popcorn/

Pinned Loading

  1. pytorch/pytorch pytorch/pytorch Public

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Python 90.9k 24.5k

  2. pytorch/ao pytorch/ao Public

    PyTorch native quantization and sparsity for training and inference

    Python 2.1k 286

  3. llm-efficiency-challenge/neurips_llm_efficiency_challenge llm-efficiency-challenge/neurips_llm_efficiency_challenge Public

    NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day

    Python 257 57

  4. gpu-mode/lectures gpu-mode/lectures Public

    Material for gpu-mode lectures

    Jupyter Notebook 4.6k 465

  5. pytorch/serve pytorch/serve Public

    Serve, optimize and scale PyTorch models in production

    Java 4.3k 883

  6. gpu-mode/discord-cluster-manager gpu-mode/discord-cluster-manager Public

    Write a fast kernel and run it on Discord. See how you compare against the best!

    Python 46 12