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VainF/readme.md

My name is Gongfan Fang, currently a last-year Ph.D. Candidate at the xML Lab @ National University of Singapore, under the supervision of Prof. Xinchao Wang (Presidential Young Professor) . Before joining xML Lab, I earned my Bachelor’s degree in 2019 and completed my Master’s degree in 2022 at the Visual Intelligence and Pattern Analysis (VIPA) Lab @ Zhejiang University, advised by Prof. Mingli Song. I'm currently working on Efficient Large Language Models and GenAI, with emphasis on LLM Reasoning, Model Efficiency, and Diffusion Language Models.

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  1. Torch-Pruning Torch-Pruning Public

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

    Python 3.2k 369

  2. Thinkless Thinkless Public

    [NeurIPS 2025] Thinkless: LLM Learns When to Think

    Python 246 18

  3. NVlabs/MaskLLM NVlabs/MaskLLM Public

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

    Python 183 12

  4. horseee/DeepCache horseee/DeepCache Public

    [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

    Python 950 48

  5. pytorch-msssim pytorch-msssim Public

    Fast and differentiable MS-SSIM and SSIM for pytorch.

    Python 1.2k 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 131