Alternatives and similar repositories for QPyTorch

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

• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆277Updated 9 months ago
• wangmaolin / niti
  Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv
  ☆86Updated 3 years ago
• aojunzz / NM-sparsity
  ☆241Updated 2 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆244Updated last year
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting (ICML'19)
  ☆113Updated 5 years ago
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆450Updated 2 years ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆281Updated last year
• 1adrianb / binary-networks-pytorch
  Binarize convolutional neural networks using pytorch
  ☆148Updated 3 years ago
• cooooorn / Pytorch-XNOR-Net
  XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.
  ☆86Updated 6 years ago
• stevenygd / WAGE.pytorch
  Reproduction of WAGE in PyTorch.
  ☆44Updated 6 years ago
• larq / zoo
  Reference implementations of popular Binarized Neural Networks
  ☆108Updated this week
• plumerai / rethinking-bnn-optimization
  Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
  ☆74Updated 5 years ago
• zzzxxxttt / pytorch_DoReFaNet
  A pytorch implementation of DoReFa-Net
  ☆132Updated 5 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆99Updated 4 years ago
• mit-han-lab / haq
  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
  ☆397Updated 4 years ago
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆262Updated 2 years ago
• mit-han-lab / hardware-aware-transformers
  [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
  ☆335Updated last year
• kssteven418 / I-BERT
  [ICML'21 Oral] I-BERT: Integer-only BERT Quantization
  ☆258Updated 2 years ago
• EunhyeokPark / PROFIT
  ☆47Updated 3 years ago
• microsoft / LQ-Nets
  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
  ☆242Updated 3 years ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆137Updated 4 years ago
• liuzechun / ReActNet
  ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.
  ☆259Updated 3 years ago
• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆27Updated 2 years ago
• walkerning / aw_nas
  aw_nas: A Modularized and Extensible NAS Framework
  ☆250Updated 2 years ago
• Qualcomm-AI-research / FP8-quantization
  ☆161Updated 2 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• GATECH-EIC / HW-NAS-Bench
  [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
  ☆113Updated 2 years ago
• allenbai01 / ProxQuant
  ProxQuant: Quantized Neural Networks via Proximal Operators
  ☆30Updated 6 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆95Updated 3 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