Alternatives and similar repositories for haq:

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

• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆244Updated 7 months ago
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆271Updated 3 months ago
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆429Updated last year
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆277Updated last year
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆262Updated last year
• mit-han-lab / apq
  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
  ☆157Updated 4 years ago
• mit-han-lab / amc
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆440Updated last year
• microsoft / LQ-Nets
  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
  ☆242Updated 2 years ago
• zzzxxxttt / pytorch_DoReFaNet
  A pytorch implementation of DoReFa-Net
  ☆134Updated 5 years ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆290Updated 10 months 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…
  ☆184Updated 4 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…
  ☆179Updated 5 years ago
• liuzechun / ReActNet
  ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.
  ☆256Updated 3 years ago
• A-suozhang / awesome-quantization-and-fixed-point-training
  Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design
  ☆160Updated 4 years ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆270Updated 3 years ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆131Updated 4 years ago
• eladhoffer / quantized.pytorch
  ☆213Updated 6 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆96Updated 3 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting
  ☆112Updated 5 years ago
• aojunzz / NM-sparsity
  ☆228Updated 2 years ago
• walkerning / aw_nas
  aw_nas: A Modularized and Extensible NAS Framework
  ☆250Updated last year
• aliyun / alibabacloud-quantization-networks
  alibabacloud-quantization-networks
  ☆121Updated 5 years ago
• deep-fry / mayo
  Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
  ☆114Updated 5 years ago
• boluoweifenda / WAGE
  Code example for the ICLR 2018 oral paper
  ☆151Updated 6 years ago
• Tiiiger / QPyTorch
  Low Precision Arithmetic Simulation in PyTorch
  ☆274Updated 10 months ago
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆167Updated 5 years ago
• liuzechun / MetaPruning
  MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.
  ☆354Updated 4 years ago
• hpi-xnor / BMXNet-v2
  BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet
  ☆232Updated 2 years ago