Alternatives and similar repositories for nnq_cnd_study

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

• ConstantPark / Neural-Network-Acceleration-2
  Neural Network Acceleration using CPU/GPU, ASIC, FPGA
  ☆62Updated 5 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆167Updated 5 years ago
• EunhyeokPark / PROFIT
  ☆47Updated 3 years ago
• submission2019 / AnalyticalScaleForIntegerQuantization
  Example for applying Gaussian and Laplace clipping on activations of CNN.
  ☆34Updated 6 years ago
• ConstantPark / DL_Compiler
  Study Group of Deep Learning Compiler
  ☆163Updated 2 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting
  ☆113Updated 5 years ago
• xu3kev / neural-networks-quantization-notes
  ☆67Updated 5 years ago
• quettabit / convolution_kernel
  Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.
  ☆14Updated 7 years ago
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆262Updated last year
• clovaai / frostnet
  FrostNet: Towards Quantization-Aware Network Architecture Search
  ☆105Updated last year
• DeGirum / pruned-models
  Repository containing pruned models and related information
  ☆37Updated 4 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆245Updated last year
• soon-yau / QNN
  Tutorials on Quantized Neural Network using Tensorflow Lite
  ☆87Updated 6 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…
  ☆50Updated last year
• ChanChiChoi / awesome-model-compression
  papers about model compression
  ☆166Updated 2 years ago
• ConstantPark / Nerual-Network-Acceleration-1
  Neural Network Acceleration such as ASIC, FPGA, GPU, and PIM
  ☆52Updated 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
• ynahshan / nn-quantization-pytorch
  ☆57Updated 4 years ago
• cooooorn / Pytorch-XNOR-Net
  XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.
  ☆86Updated 6 years ago
• wjc852456 / pytorch-quant
  DL quantization for pytorch
  ☆26Updated 6 years ago
• anony-sub / chameleon
  Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
  ☆27Updated 5 years ago
• j-marple-dev / model_compression
  PyTorch Model Compression
  ☆234Updated 2 years ago
• synxlin / nn-compression
  A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
  ☆156Updated last year
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆167Updated 5 years ago
• julianfaraone / SYQ
  This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…
  ☆31Updated 6 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago
• limenghao / AdaTune
  This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).
  ☆14Updated 4 years ago
• eladhoffer / quantized.pytorch
  ☆214Updated 6 years ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆280Updated last year
• zzzxxxttt / pytorch_DoReFaNet
  A pytorch implementation of DoReFa-Net
  ☆132Updated 5 years ago