Alternatives and similar repositories for qnnpack:

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

• lswzjuer / pytorch-quantity
  An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)
  ☆33Updated 5 years ago
• hey-yahei / Quantization.MXNet
  Simulate quantization and quantization aware training for MXNet-Gluon models.
  ☆46Updated 5 years ago
• eezywu / Pruned-MobileNet_v2
  Apply the pruning strategy for MobileNet_v2
  ☆51Updated 5 years ago
• jiangxinyang227 / model_quantization
  ☆28Updated 2 years ago
• 32l / Neural-Network-Model-Compressing
  Caffe implementation of Dynamic Network Surgery and Incremental Network Quantization
  ☆15Updated 7 years ago
• qinjian623 / pytorch_toys
  Personal Pytorch toy script.
  ☆67Updated 3 years ago
• ArtyZe / yolo_quantization
  Based of paper "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
  ☆63Updated 4 years ago
• ynahshan / nn-quantization-pytorch
  ☆56Updated 4 years ago
• lyuchuny3 / Tengine_gemm_tutorial
  Tengine gemm tutorial, step by step
  ☆13Updated 4 years ago
• Ironteen / Batch-Normalization-fusion
  Batch Normalization Auto-fusion for PyTorch
  ☆32Updated 5 years ago
• zym1119 / Merge_BN
  Merge convolution and batchnorm layers in both Caffe and PyTorch using Python
  ☆18Updated 6 years ago
• ChenShisen / ncnnqat
  quantize aware training package for NCNN on pytorch
  ☆70Updated 3 years ago
• Roll920 / ThiNet_Code
  Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet
  ☆46Updated 6 years ago
• moranshkolnik / RobustQuantization
  source code of the paper: Robust Quantization: One Model to Rule Them All
  ☆40Updated 2 years ago
• BBuf / ArmNeonOptimization
  arm-neon
  ☆90Updated 8 months ago
• xu3kev / neural-networks-quantization-notes
  ☆67Updated 5 years ago
• hey-yahei / OpSummary.MXNet
  A tool to count operators and parameters of your MXNet-Gluon model.
  ☆23Updated 5 years ago
• winfredsu / quant_aware_training
  fixed-point, symmetric, power-of-2 quantization-aware training in tensorflow 1.13.1
  ☆12Updated 5 years ago
• deepglint / eq-ncnn
  ☆42Updated 4 years ago
• TianzhongSong / Tensorflow-quantization-test
  Tensorflow quantization (float32-->int8) inference test
  ☆74Updated 6 years ago
• whitelok / tvm-lesson
  动手学习TVM核心原理教程
  ☆61Updated 4 years ago
• ivclab / Multistage_Pruning
  Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," Interna…
  ☆18Updated 4 years ago
• wangshankun / rcnn-optimize
  fastercnn modules optimize
  ☆2Updated last year
• merrymercy / tvm-mali
  Optimizing Mobile Deep Learning on ARM GPU with TVM
  ☆181Updated 6 years ago
• BBuf / model_quantization
  ☆11Updated 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
• mrusci / training-mixed-precision-quantized-networks
  This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…
  ☆49Updated 11 months ago
• Ironteen / YOLOv3-quantization-model-v1.0
  YOLOv3 quantization model v10, only for quantization off-line
  ☆21Updated 5 years ago
• tpoisonooo / chgemm
  symmetric int8 gemm
  ☆67Updated 4 years ago
• HolmesShuan / Caffe-Computation-Graph-Optimization
  Caffe Computation Graph Optimization.
  ☆29Updated 5 years ago