Alternatives and similar repositories for dnn-gating

Users that are interested in dnn-gating are comparing it to the libraries listed below

• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting
  ☆113Updated 5 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆59Updated 4 years ago
• SHI-Labs / Any-Precision-DNNs
  Any-Precision Deep Neural Networks (AAAI 2021)
  ☆60Updated 5 years ago
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆40Updated 4 years ago
• deJQK / AdaBits
  ☆39Updated 2 years ago
• stevenygd / WAGE.pytorch
  Reproduction of WAGE in PyTorch.
  ☆42Updated 6 years ago
• liuzechun / AdamBNN
  How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.
  ☆60Updated 3 years ago
• allenbai01 / ProxQuant
  ProxQuant: Quantized Neural Networks via Proximal Operators
  ☆29Updated 6 years ago
• GATECH-EIC / ShiftAddNet
  [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
  ☆71Updated 4 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 3 years ago
• zzzxxxttt / pytorch_DoReFaNet
  A pytorch implementation of DoReFa-Net
  ☆133Updated 5 years ago
• XinDongol / BENN-PyTorch
  Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
  ☆31Updated 5 years ago
• plumerai / rethinking-bnn-optimization
  Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
  ☆74Updated 5 years ago
• ruizhoud / DistributionLoss
  Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"
  ☆32Updated 6 years ago
• skmhrk1209 / QuanTorch
  PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
  ☆55Updated 5 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• sony-si / ai-research
  ☆47Updated 4 years ago
• hqjenny / CoDeNet
  ☆19Updated 4 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 5 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…
  ☆39Updated 3 years ago
• GATECH-EIC / CPT
  [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…
  ☆31Updated last year
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆134Updated 4 years ago
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 5 years ago
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆69Updated 3 years ago
• Hyungjun-K1m / BinaryDuo
  Torch-7 implementation of BinaryDuo (ICLR 2020).
  ☆9Updated 4 years ago
• ynahshan / nn-quantization-pytorch
  ☆56Updated 4 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆97Updated 3 years ago
• EunhyeokPark / PROFIT
  ☆47Updated 3 years ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 4 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago