Alternatives and similar repositories for NICE

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

• 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
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆117Updated 6 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆108Updated 8 years ago
• fpeder / espresso
  Efficient forward propagation for BCNNs
  ☆50Updated 8 years ago
• dongyp13 / Stochastic-Quantization
  Training Low-bits DNNs with Stochastic Quantization
  ☆74Updated 7 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆112Updated 7 years ago
• EunhyeokPark / script_for_WQ
  ☆13Updated 8 years ago
• DAVIDNEWGATE / Project
  Incremental Network Quantization, Kmeans quantization, Iterative Pruning, Dynamic Network Surgery
  ☆33Updated 7 years ago
• fengfu-chris / caffe-twns
  Implementation of Ternary Weight Networks In Caffe
  ☆63Updated 8 years ago
• eladhoffer / quantized.pytorch
  ☆213Updated 6 years ago
• microsoft / LQ-Nets
  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
  ☆242Updated 2 years ago
• hpnair / 18663_Project_FBNet
  Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)
  ☆34Updated 5 years ago
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆167Updated 5 years ago
• boluoweifenda / WAGE
  Code example for the ICLR 2018 oral paper
  ☆152Updated 7 years ago
• AojunZhou / Incremental-Network-Quantization
  Caffe Implementation for Incremental network quantization
  ☆192Updated 6 years ago
• caiwenpu / Compression_Paper
  ☆46Updated 5 years ago
• DeGirum / pruned-models
  Repository containing pruned models and related information
  ☆37Updated 4 years ago
• deep-fry / mayo
  Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
  ☆115Updated 5 years ago
• AngusG / tensorflow-xnor-bnn
  BinaryNets in TensorFlow with XNOR GEMM op
  ☆156Updated 7 years ago
• jonathanmarek1 / binarynet-tensorflow
  ☆62Updated 7 years ago
• xu3kev / neural-networks-quantization-notes
  ☆67Updated 5 years ago
• BertMoons / QuantizedNeuralNetworks-Keras-Tensorflow
  Quantized Neural Networks - networks trained for inference at arbitrary low precision.
  ☆146Updated 7 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆126Updated 6 years ago
• Enderdead / Pytorch_Quantize_impls
  Some recent Quantizing techniques on PyTorch
  ☆72Updated 5 years ago
• cc-hpc-itwm / TensorQuant
  ☆47Updated 5 years ago
• layog / Accurate-Binary-Convolution-Network
  Binary Convolution Network for faster real-time processing in ASICs
  ☆56Updated 7 years ago
• XJTUWYD / DoReFa_Cifar10
  implement of DoReFaNet with tensorflow based on cifar10 dataset
  ☆29Updated 7 years ago
• itayhubara / BinaryNet.tf
  BNN implementation in tensorflow
  ☆167Updated 7 years ago
• agoncharenko1992 / FAT-fast-adjustable-threshold
  This is th code to FAT method with links to quantized tflite models. (CC BY-NC-ND)
  ☆19Updated 6 years ago
• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆191Updated 6 years ago