Alternatives and similar repositories for neuralzip:

Users that are interested in neuralzip are comparing it to the libraries listed below

• hqjenny / CoDeNet
  ☆19Updated 4 years ago
• deJQK / FracBits
  Neural Network Quantization With Fractional Bit-widths
  ☆12Updated 4 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆49Updated 3 years ago
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆40Updated 4 years ago
• ModelTC / LPCV2021_Winner_Solution
  ☆28Updated 3 years ago
• CAS-CLab / BlockConv
  [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
  ☆16Updated 2 years ago
• PannenetsF / TQT
  TQT's pytorch implementation.
  ☆21Updated 3 years ago
• aojunzz / DominoSearch
  ☆18Updated 3 years ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆34Updated last year
• 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…
  ☆15Updated 3 years ago
• Zhen-Dong / CoDeNet
  [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…
  ☆25Updated 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…
  ☆23Updated 2 years ago
• GATECH-EIC / AutoDNNchip
  ☆70Updated 5 years ago
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆24Updated 2 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• Shunli-Wang / Tiny-YOLO-LSQ
  This is an implementation of YOLO using LSQ network quantization method.
  ☆23Updated 2 years ago
• isakedo / DNNsim
  ☆32Updated 4 years ago
• mrusci / training-mixed-precision-quantized-networks
  This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…
  ☆49Updated 10 months ago
• ehw-fit / tf-approximate
  Approximate layers - TensorFlow extension
  ☆27Updated 11 months ago
• jgoeders / dac_sdc_2020
  DAC System Design Contest 2020
  ☆29Updated 4 years ago
• jha-lab / acceltran
  [TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers
  ☆38Updated last year
• jgoeders / dac_sdc_2020_designs
  Designs for finalist teams of the DAC System Design Contest
  ☆37Updated 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, …
  ☆48Updated 2 years ago
• os-hxfan / Static_BFP_CNN
  Static Block Floating Point Quantization for CNN
  ☆32Updated 3 years ago
• WeixiangXu / STTN
  ☆17Updated 2 years ago
• z-hXu / ReCU
  Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…
  ☆38Updated 3 years ago
• ZouJiu1 / LSQplus
  LSQ+ or LSQplus
  ☆64Updated 2 months ago
• CASR-HKU / DPACS
  ☆18Updated 2 years ago
• mustard-seed / SparseDNNAccelerator
  Sparse CNN Accelerator targeting Intel FPGA
  ☆11Updated 3 years ago
• horizon-research / systolic-array-dataflow-optimizer
  A general framework for optimizing DNN dataflow on systolic array
  ☆34Updated 4 years ago