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    49 repositories

    • LaCache

      Public
      [ICML 2025] LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models.
      Python
      •
      BSD 3-Clause "New" or "Revised" License
      •0•9•0•0•Updated Jul 22, 2025Jul 22, 2025

    • DiffCR

      Public
      Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers
      Python
      •
      Apache License 2.0
      •0•8•1•0•Updated May 19, 2025May 19, 2025

    • Early-Bird-Diffusion

      Public
      [CVPR 2025] "Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training" by Lexington Whalen, Zhenbang Du, Haoran You, Chaojian Li, Sixu Li, and Yingyan (Celine) Lin.
      Python
      •0•2•0•0•Updated May 5, 2025May 5, 2025

    • LongMamba

      Public
      A training-free method for extending the context length of SSMs (State Space Models) and hybrid architectures..
      Python
      •0•10•1•0•Updated Apr 26, 2025Apr 26, 2025

    • torchshiftadd

      Public
      An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.
      Python
      •
      Apache License 2.0
      •0•13•0•0•Updated Feb 3, 2025Feb 3, 2025

    • Omni-Recon

      Public
      [ECCV 2024 Oral] "Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields" by Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, and Yingyan (Celine) Lin.
      surface-reconstructionnerf3d-reconstructionreal-time-renderinggeneralizable-nerf
      Python
      •
      MIT License
      •0•8•1•0•Updated Dec 14, 2024Dec 14, 2024

    • AmoebaLLM

      Public
      [NeurIPS 2024] "AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment" by Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang, Xiangchi Yuan, Dachuan Shi, Roman Yakunin, and Yingyan (Celine) Lin.
      language-modelefficient-llm-inference
      Python
      •
      MIT License
      •3•14•0•0•Updated Dec 13, 2024Dec 13, 2024

    • ShiftAddLLM

      Public
      ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
      Python
      •
      Apache License 2.0
      •16•110•5•0•Updated Oct 15, 2024Oct 15, 2024

    • mg-verilog

      Public
      Python
      •
      MIT License
      •9•47•0•0•Updated Oct 8, 2024Oct 8, 2024

    • LLM4HWDesign_Starting_Toolkit

      Public
      LLM4HWDesign Starting Toolkit
      Python
      •4•17•1•0•Updated Oct 4, 2024Oct 4, 2024

    • ACT

      Public
      [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration
      Python
      •1•41•2•0•Updated Jun 30, 2024Jun 30, 2024

    • Edge-LLM

      Public
      [DAC 2024] EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting
      Python
      •9•63•2•0•Updated Jun 30, 2024Jun 30, 2024

    • Linearized-LLM

      Public
      [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
      Python
      •
      Apache License 2.0
      •3•33•1•0•Updated Jun 12, 2024Jun 12, 2024

    • Castling-ViT

      Public
      [CVPR 2023] Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference
      Python
      •
      Apache License 2.0
      •1•30•1•0•Updated Mar 14, 2024Mar 14, 2024

    • NeRFool

      Public
      [ICML 2023] "NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations" by Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan (Celine) Lin
      adversarial-robustnessneural-radiance-fields
      Python
      •
      MIT License
      •1•18•0•0•Updated Mar 10, 2024Mar 10, 2024

    • CPT

      Public
      [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, and Yingyan (Celine) Lin.
      pytorchquantizationefficient-traininglow-precision-training
      Python
      •
      MIT License
      •6•31•2•1•Updated Mar 2, 2024Mar 2, 2024

    • ShiftAddViT

      Public
      [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
      Python
      •
      Apache License 2.0
      •0•31•1•0•Updated Dec 6, 2023Dec 6, 2023

    • TinyML2023EIC-Gatech-Open

      Public
      C
      •0•6•0•0•Updated Oct 19, 2023Oct 19, 2023

    • BNS-GCN

      Public
      [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling" by Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
      samplinggraph-convolutional-networksdistributed-traininggraph-neural-networks
      Python
      •
      MIT License
      •12•56•0•0•Updated Oct 6, 2023Oct 6, 2023

    • S3-Router

      Public
      [NeurIPS 2022] "Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing" by Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin
      self-supervised-learningautomated-speech-recognitionasr-pruning
      Python
      •
      MIT License
      •2•17•1•0•Updated Sep 19, 2023Sep 19, 2023

    • ViTCoD

      Public
      [HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
      Python
      •
      Apache License 2.0
      •12•115•2•0•Updated Jun 27, 2023Jun 27, 2023

    • Hint-Aug

      Public
      Python
      •
      MIT License
      •0•5•0•0•Updated Jun 25, 2023Jun 25, 2023

    • HW-NAS-Bench

      Public
      [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
      Python
      •
      MIT License
      •19•111•2•0•Updated Apr 18, 2023Apr 18, 2023

    • HALO

      Public
      The official code for [ECCV2020] "HALO: Hardware-aware Learning to Optimize"
      Python
      •
      MIT License
      •0•10•0•0•Updated Mar 22, 2023Mar 22, 2023

    • PipeGCN

      Public
      [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
      graph-convolutional-networksdistributed-traininggraph-neural-networks
      Python
      •
      MIT License
      •7•33•0•0•Updated Mar 15, 2023Mar 15, 2023

    • ViTALiTy

      Public
      ViTALiTy (HPCA'23) Code Repository
      Python
      •
      Apache License 2.0
      •6•23•2•0•Updated Mar 13, 2023Mar 13, 2023

    • Spline-EB

      Public
      [TMLR] Max-Affine Spline Insights Into Deep Network Pruning
      Python
      •
      MIT License
      •0•1•0•0•Updated Nov 12, 2022Nov 12, 2022

    • TinyML-Contest-Solution

      Public
      7•11•0•0•Updated Oct 27, 2022Oct 27, 2022

    • DNN-Chip-Predictor

      Public
      [ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
      Python
      •6•25•1•0•Updated Oct 1, 2022Oct 1, 2022

    • NASA

      Public
      [ICCAD 2022] NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks
      Python
      •0•10•0•0•Updated Sep 22, 2022Sep 22, 2022