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
  ☆63Updated 5 years ago
• EunhyeokPark / PROFIT
  ☆48Updated 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
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• quettabit / convolution_kernel
  Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.
  ☆14Updated 7 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting (ICML'19)
  ☆113Updated 5 years ago
• soon-yau / QNN
  Tutorials on Quantized Neural Network using Tensorflow Lite
  ☆87Updated 6 years ago
• ConstantPark / DL_Compiler
  Study Group of Deep Learning Compiler
  ☆165Updated 2 years ago
• xu3kev / neural-networks-quantization-notes
  ☆66Updated 5 years ago
• ConstantPark / Nerual-Network-Acceleration-1
  Neural Network Acceleration such as ASIC, FPGA, GPU, and PIM
  ☆54Updated 5 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆243Updated last year
• max2ma / shiftNet
  ☆14Updated 5 years ago
• clovaai / frostnet
  FrostNet: Towards Quantization-Aware Network Architecture Search
  ☆105Updated last year
• 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
• submission2019 / AnalyticalScaleForIntegerQuantization
  Example for applying Gaussian and Laplace clipping on activations of CNN.
  ☆34Updated 6 years ago
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆263Updated 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 6 years ago
• wjc852456 / pytorch-quant
  DL quantization for pytorch
  ☆26Updated 6 years ago
• BertMoons / QuantizedNeuralNetworks-Keras-Tensorflow
  Quantized Neural Networks - networks trained for inference at arbitrary low precision.
  ☆147Updated 7 years ago
• eladhoffer / quantized.pytorch
  ☆214Updated 6 years ago
• microsoft / LQ-Nets
  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
  ☆242Updated 3 years ago
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆167Updated 5 years ago
• lgalke / torch-pruning
  Pruning methods for pytorch with an optimizer-like interface
  ☆15Updated 5 years ago
• ConstantPark / Neural-Network-Acceleration-3
  ☆14Updated 5 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago
• xyzxinyizhang / 2018-DAC-System-Design-Contest
  ☆53Updated 6 years ago
• mlcommons / inference_results_v0.5
  This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.
  ☆55Updated 3 months ago
• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆193Updated 6 years ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆280Updated last year
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆68Updated 3 years ago