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🎯
Focusing
🎯
Focusing
2k followers · 248 following

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Achievement: QuickdrawAchievement: Pair Extraordinairex2Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault ContributorAchievement: Starstruckx3

Achievements

Achievement: QuickdrawAchievement: Pair Extraordinairex2Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault ContributorAchievement: Starstruckx3

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ethanhe42/README.md

I'm an engineer at xAI focusing on multimodal, video generation and world models (Grok Imagine v0.9).

🤗Open Source Projects:

  • Cosmos: state-of-the-art generative world models
  • NeMo DFM: large-scale training and inference framework for diffusion models
  • Megatron-LM MoE: Scaling up mixture of experts
  • NeMo: scalable training framework for LLMs transformers
  • LongVILA: Long-Context VLM for long videos (ICLR'25)
  • ActGPT: browser-use agent
  • Channel Pruning: Accelerating Very Deep Neural Networks (ICCV'17)
  • Epipolar Transformers: Accurate multi-camera pose understanding (CVPR'20)
  • AMC: AutoML for model compression (ECCV'18)
  • KL Loss: Accurate Object Detection (CVPR'19)
  • FSAF: single-shot object detection (CVPR'19)
  • 🤓Grok Heavy Tungsten Cube

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  1. NVIDIA-NeMo/NeMo NVIDIA-NeMo/NeMo Public

    A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

    Python 16.4k 3.2k

  2. NVIDIA/Megatron-LM NVIDIA/Megatron-LM Public

    Ongoing research training transformer models at scale

    Python 14.7k 3.4k

  3. NVIDIA-NeMo/DFM NVIDIA-NeMo/DFM Public

    State-of-the-art framework for fast, large-scale training and inference of diffusion models

    Python 16 2

  4. NVIDIA/Cosmos-Tokenizer NVIDIA/Cosmos-Tokenizer Public archive

    A suite of image and video neural tokenizers

    Jupyter Notebook 1.7k 85

  5. channel-pruning channel-pruning Public

    Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

    Python 1.1k 308

  6. KL-Loss KL-Loss Public

    Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

    Python 722 105