Alternatives and similar repositories for DFQ:

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

• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆275Updated last year
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆243Updated 5 months ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆261Updated 3 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆95Updated 3 years ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆128Updated 4 years ago
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆270Updated last month
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆422Updated last year
• 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 4 years ago
• Jzz24 / pytorch_quantization
  A pytorch implementation of dorefa quantization
  ☆112Updated 5 years ago
• mit-han-lab / haq
  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
  ☆378Updated 3 years ago
• EunhyeokPark / PROFIT
  ☆47Updated 3 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting
  ☆112Updated 4 years ago
• zzzxxxttt / pytorch_DoReFaNet
  A pytorch implementation of DoReFa-Net
  ☆133Updated 5 years ago
• mit-han-lab / apq
  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
  ☆156Updated 4 years ago
• liuzechun / ReActNet
  ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.
  ☆257Updated 3 years ago
• microsoft / LQ-Nets
  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
  ☆241Updated 2 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…
  ☆182Updated 3 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆94Updated 2 years ago
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆68Updated 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
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆286Updated 8 months ago
• ynahshan / nn-quantization-pytorch
  ☆55Updated 4 years ago
• aojunzz / NM-sparsity
  ☆221Updated 2 years ago
• aliyun / alibabacloud-quantization-networks
  alibabacloud-quantization-networks
  ☆121Updated 5 years ago
• skmhrk1209 / QuanTorch
  PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
  ☆55Updated 5 years ago
• mit-han-lab / amc
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆436Updated last year
• mostafaelhoushi / DeepShift
  Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298
  ☆109Updated 3 years ago
• jack-willturner / deep-compression
  Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
  ☆176Updated 2 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆166Updated 4 years ago