Alternatives and similar repositories for wageubn

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

• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆42Updated 4 years ago
• GATECH-EIC / HW-NAS-Bench
  [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
  ☆113Updated 2 years ago
• deJQK / AdaBits
  ☆41Updated 3 years ago
• Zhu-Zhenhua / MNSIM_Python
  MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1
  ☆35Updated last year
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆248Updated last year
• zzzxxxttt / pytorch_DoReFaNet
  A pytorch implementation of DoReFa-Net
  ☆132Updated 6 years ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆307Updated last year
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆139Updated 5 years ago
• mit-han-lab / haq
  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
  ☆400Updated 4 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆281Updated last year
• hsharma35 / bitfusion
  Simulator for BitFusion
  ☆102Updated 5 years ago
• MXHX7199 / ICCV_2021_AFP
  AFP is a hardware-friendly quantization framework for DNNs, which is contributed by Fangxin Liu and Wenbo Zhao.
  ☆13Updated 4 years ago
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆452Updated 2 years ago
• MarkYangjiayi / WAGEUBN-pytorch
  ☆12Updated 3 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting (ICML'19)
  ☆113Updated 5 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆60Updated 5 years ago
• Jzz24 / pytorch_quantization
  A pytorch implementation of dorefa quantization
  ☆113Updated 5 years ago
• htqin / IR-Net
  [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…
  ☆181Updated 5 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆98Updated 4 years ago
• SHI-Labs / Any-Precision-DNNs
  Any-Precision Deep Neural Networks (AAAI 2021)
  ☆62Updated 5 years ago
• liuzechun / Bi-Real-net
  Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…
  ☆186Updated 4 years ago
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆68Updated 4 years ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆284Updated 4 years ago
• zqu1992 / ALQ
  ☆14Updated 3 years ago
• walkerning / nics_fix_pytorch
  pytorch fixed point training tool/framework
  ☆34Updated 5 years ago
• liuzechun / ReActNet
  ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.
  ☆261Updated 4 years ago
• cornell-zhang / FracBNN
  FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
  ☆95Updated 4 years ago
• cornell-zhang / dnn-gating
  Conditional channel- and precision-pruning on neural networks
  ☆72Updated 5 years ago
• A-suozhang / awesome-quantization-and-fixed-point-training
  Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design
  ☆160Updated 5 years ago