Alternatives and similar repositories for BMXNet-v2

Users that are interested in BMXNet-v2 are comparing it to the libraries listed below

• microsoft / LQ-Nets
  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
  ☆243Updated 3 years ago
• eladhoffer / quantized.pytorch
  ☆214Updated 7 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
• aliyun / alibabacloud-quantization-networks
  alibabacloud-quantization-networks
  ☆122Updated 6 years ago
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆167Updated 5 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 6 years ago
• layog / Accurate-Binary-Convolution-Network
  Binary Convolution Network for faster real-time processing in ASICs
  ☆57Updated 7 years ago
• mit-han-lab / amc-models
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆168Updated 4 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
• mit-han-lab / apq
  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
  ☆159Updated 5 years ago
• xu3kev / neural-networks-quantization-notes
  ☆67Updated 6 years ago
• mostafaelhoushi / DeepShift
  Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298
  ☆113Updated 4 years ago
• AojunZhou / Incremental-Network-Quantization
  Caffe Implementation for Incremental network quantization
  ☆191Updated 7 years ago
• boluoweifenda / WAGE
  Code example for the ICLR 2018 oral paper
  ☆152Updated 7 years ago
• BertMoons / QuantizedNeuralNetworks-Keras-Tensorflow
  Quantized Neural Networks - networks trained for inference at arbitrary low precision.
  ☆147Updated 8 years ago
• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆193Updated 6 years ago
• deep-fry / mayo
  Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
  ☆113Updated 5 years ago
• caiwenpu / Compression_Paper
  ☆46Updated 6 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆112Updated 8 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆249Updated last year
• Enderdead / Pytorch_Quantize_impls
  Some recent Quantizing techniques on PyTorch
  ☆72Updated 6 years ago
• synxlin / nn-compression
  A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
  ☆158Updated last year
• antspy / quantized_distillation
  Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
  ☆336Updated last year
• ynahshan / nn-quantization-pytorch
  ☆57Updated 5 years ago
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆119Updated 7 years ago
• mit-han-lab / haq
  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
  ☆400Updated 4 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting (ICML'19)
  ☆113Updated 5 years ago
• LaVieEnRoseSMZ / AutoBNN
  ☆47Updated 5 years ago
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆263Updated 2 years ago
• submission2019 / AnalyticalScaleForIntegerQuantization
  Example for applying Gaussian and Laplace clipping on activations of CNN.
  ☆34Updated 6 years ago