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    44 repositories

    • ShiftAddLLM

      Public
      ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
      Python
      •
      Apache License 2.0
      •10•89•5•0•Updated Oct 15, 2024Oct 15, 2024

    • mg-verilog

      Public
      Python
      •
      MIT License
      •6•32•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

    • 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
      0•4•0•0•Updated Sep 16, 2024Sep 16, 2024

    • ACT

      Public
      [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration
      Python
      •0•25•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
      •5•34•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
      •1•27•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•25•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•14•0•0•Updated Mar 10, 2024Mar 10, 2024

    • CPT

      Public
      [ICLR 2021] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin
      pytorchquantizationefficient-traininglow-precision-training
      Python
      •
      MIT License
      •6•30•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
      •11•52•1•0•Updated Oct 6, 2023Oct 6, 2023

    • torchshiftadd

      Public
      An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.
      Apache License 2.0
      •0•10•0•0•Updated Sep 24, 2023Sep 24, 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•15•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
      •11•98•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
      •16•105•1•0•Updated Apr 18, 2023Apr 18, 2023

    • HALO

      Public
      The official code for [ECCV2020] "HALO: Hardware-aware Learning to Optimize"
      Python
      •
      MIT License
      •0•9•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•31•0•0•Updated Mar 15, 2023Mar 15, 2023

    • ViTALiTy

      Public
      ViTALiTy (HPCA'23) Code Repository
      Python
      •
      Apache License 2.0
      •5•19•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
      6•9•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
      •5•22•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•8•0•0•Updated Sep 22, 2022Sep 22, 2022

    • DepthShrinker

      Public
      [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
      model-compression
      MIT License
      •1•35•1•0•Updated Jul 12, 2022Jul 12, 2022

    • SuperTickets

      Public
      [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
      neural-architecture-searchlottery-ticket-hypothesis
      Python
      •
      MIT License
      •0•19•0•0•Updated Jul 7, 2022Jul 7, 2022

    • ShiftAddNAS

      Public
      [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
      neural-architecture-searchshiftaddnetdeep-learning
      Python
      •
      MIT License
      •2•14•2•0•Updated May 18, 2022May 18, 2022

    • EyeCoD

      Public
      [ISCA 2022] EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design
      systemeye-trackingflatcam
      MIT License
      •1•3•0•0•Updated Apr 24, 2022Apr 24, 2022

    • Early-Bird-GCN

      Public
      [AAAI 2022] Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
      gcnearly-bird-ticketsefficient-training-and-inference
      Python
      •
      Apache License 2.0
      •2•5•0•0•Updated Apr 7, 2022Apr 7, 2022