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VainF (Gongfan Fang) · GitHub

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VainF/readme.md

Hi there! I'm Gongfan Fang, an incoming Research Scientist at NVIDIA, where I will be working on LLMs. I recently completed my Ph.D. at the xML Lab, National University of Singapore, under the supervision of Prof. Xinchao Wang. Prior to that, I received my B.Eng. (2019) and M.Eng. (2022) from Zhejiang University under the supervision of Prof. Mingli Song.

My research focuses on Efficient Deep Learning. I am the creator of Torch-Pruning, an open-source framework for structured pruning and acceleration. And I also received the 2024 ByteDance Scholarship.

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  1. Torch-Pruning Torch-Pruning Public

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

    Python 3.3k 385

  2. Thinkless Thinkless Public

    [NeurIPS 2025] Thinkless: LLM Learns When to Think

    Python 261 20

  3. NVlabs/MaskLLM NVlabs/MaskLLM Public

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

    Python 189 17

  4. horseee/DeepCache horseee/DeepCache Public

    [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

    Python 970 52

  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 132

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