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VainF/readme.md

I'm Gongfan Fang, a Research Scientist at NVIDIA working on Efficient LLMs. My research focuses on Efficient Deep Learning. I am the creator of Torch-Pruning, a widely used open-source library for structural pruning of deep neural networks.

Before joining NVIDIA, I received my Ph.D. from the National University of Singapore, advised by Prof. Xinchao Wang. During my Ph.D., I was awarded the 2024 ByteDance Scholarship. Prior to that, I obtained my B.Eng. (2019) and M.Eng. (2022) from Zhejiang University, advised by Prof. Mingli Song.

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  1. Torch-Pruning Torch-Pruning Public

    [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.

    Python 3.4k 392

  2. Thinkless Thinkless Public

    [NeurIPS 2025] Thinkless: LLM Learns When to Think

    Python 259 20

  3. NVlabs/MaskLLM NVlabs/MaskLLM Public

    [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models

    Python 192 17

  4. horseee/DeepCache horseee/DeepCache Public

    [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

    Python 966 51

  5. pytorch-msssim pytorch-msssim Public

    Fast and differentiable MS-SSIM and SSIM for pytorch.

    Python 1.3k 127

  6. horseee/LLM-Pruner horseee/LLM-Pruner Public

    [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.

    Python 1.1k 130