Zhen-Dong / CoDeNet

Related projects: ⓘ

• hqjenny / CoDeNet
  ☆19Updated 3 years ago
• zhutmost / neuralzip
  A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…
  ☆26Updated last year
• isakedo / DNNsim
  ☆27Updated 4 years ago
• GATECH-EIC / Auto-NBA
  [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…
  ☆14Updated 2 years ago
• GATECH-EIC / AutoDNNchip
  ☆67Updated 4 years ago
• hisrg / Neural-Network-Compression-and-Accelerator-on-Hardware
  My name is Fang Biao. I'm currently pursuing my Master degree with the college of Computer Science and Engineering, Si Chuan University, …
  ☆41Updated last year
• mit-han-lab / spatten
  [HPCA'21] SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
  ☆64Updated 3 weeks ago
• jgoeders / dac_sdc_2021
  ☆23Updated 2 years ago
• GATECH-EIC / ViTCoD
  [HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆88Updated last year
• aojunzz / DominoSearch
  ☆18Updated 2 years ago
• GATECH-EIC / DNN-Chip-Predictor
  [ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architecture…
  ☆22Updated last year
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆36Updated 3 years ago
• jgoeders / dac_sdc_2020
  DAC System Design Contest 2020
  ☆29Updated 4 years ago
• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆26Updated 11 months ago
• Accelergy-Project / accelergy-timeloop-infrastructure
  Linux docker for the DNN accelerator exploration infrastructure composed of Accelergy and Timeloop
  ☆41Updated 3 months ago
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆23Updated 2 years ago
• sharc-lab / Edge-MoE
  Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts
  ☆82Updated 4 months ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆32Updated last year
• fffasttime / AnyPackingNet
  ☆23Updated 6 months ago
• heymesut / SJTU_microe
  A FPGA-based neural network inference accelerator, which won the third place in DAC-SDC
  ☆28Updated 2 years ago
• DequanWang / CoDeNet
  Algorithm-hardware Co-design for Deformable Convolution
  ☆24Updated 3 years ago
• harvard-acc / EdgeBERT
  HW/SW co-design of sentence-level energy optimizations for latency-aware multi-task NLP inference
  ☆46Updated 5 months ago
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆46Updated last year
• cjg91 / trans-fat
  An FPGA Accelerator for Transformer Inference
  ☆69Updated 2 years ago
• deJQK / FracBits
  Neural Network Quantization With Fractional Bit-widths
  ☆12Updated 3 years ago
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆67Updated 2 years ago
• CAS-CLab / BlockConv
  [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
  ☆15Updated 2 years ago
• ehw-fit / tf-approximate
  Approximate layers - TensorFlow extension
  ☆25Updated 4 months ago
• Zhen-Dong / BitPack
  BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
  ☆49Updated last year
• iitm-sysdl / FuSeConv
  Code for paper "FuSeConv Fully Separable Convolutions for Fast Inference on Systolic Arrays" published at DATE 2021
  ☆11Updated 3 years ago