Alternatives and similar repositories for ProxQuant:

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

• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 4 years ago
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 5 years ago
• SHI-Labs / Any-Precision-DNNs
  Any-Precision Deep Neural Networks (AAAI 2021)
  ☆60Updated 4 years ago
• XinDongol / BENN-PyTorch
  Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
  ☆31Updated 5 years ago
• ynahshan / nn-quantization-pytorch
  ☆56Updated 4 years ago
• plumerai / rethinking-bnn-optimization
  Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
  ☆74Updated 5 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• mil-ad / studying-binary-neural-networks
  ☆53Updated 6 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting
  ☆112Updated 5 years ago
• submission2019 / AnalyticalScaleForIntegerQuantization
  Example for applying Gaussian and Laplace clipping on activations of CNN.
  ☆34Updated 6 years ago
• eghouti / BinaryConnect
  Implementation of BinaryConnect on Pytorch
  ☆39Updated 3 years ago
• ruizhoud / DistributionLoss
  Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"
  ☆32Updated 6 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆95Updated 3 years ago
• deJQK / AdaBits
  ☆39Updated 2 years ago
• julianfaraone / SYQ
  This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…
  ☆31Updated 5 years ago
• Hyungjun-K1m / BinaryDuo
  Torch-7 implementation of BinaryDuo (ICLR 2020).
  ☆9Updated 4 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…
  ☆30Updated last year
• tajanthan / pmf
  Proximal Mean-field for Neural Network Quantization
  ☆22Updated 5 years ago
• moranshkolnik / RobustQuantization
  source code of the paper: Robust Quantization: One Model to Rule Them All
  ☆40Updated 2 years ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆34Updated last year
• cornell-zhang / dnn-gating
  Conditional channel- and precision-pruning on neural networks
  ☆73Updated 5 years ago
• stevenygd / WAGE.pytorch
  Reproduction of WAGE in PyTorch.
  ☆42Updated 6 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆58Updated 4 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
• rhhc / ZeroQ-MP
  [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework
  ☆13Updated 4 years ago
• bohanzhuang / Towards-Effective-Low-bitwidth-Convolutional-Neural-Networks
  This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"
  ☆20Updated 3 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago
• cjf00000 / StatQuant
  code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"
  ☆28Updated 4 years ago
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆40Updated 4 years ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 4 years ago