flygyyy

flygyyy's Stars

• sun254/awesome-model-compression-and-acceleration

  a list of awesome papers on deep model ompression and acceleration

  34690

• boluoweifenda/WAGE

  Code example for the ICLR 2018 oral paper

  Language:Python15039

• hellozting/InterleavedGroupConvolutions

  Language:Python11133

• jaxony/ShuffleNet

  ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083

  Language:Python29490

• zhaoweicai/hwgq

  Caffe implementation of accurate low-precision neural networks

  Language:C++11833

• dongyp13/Stochastic-Quantization

  Training Low-bits DNNs with Stochastic Quantization

  Language:Jupyter Notebook7318

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python23k6.3k

• leelabcnbc/cnnvis-pytorch

  visualization of CNN in PyTorch

  Language:Jupyter Notebook15419

• longcw/faster_rcnn_pytorch

  Faster RCNN with PyTorch

  Language:Python1.7k466

• jwyang/faster-rcnn.pytorch

  A faster pytorch implementation of faster r-cnn

  Language:Python7.7k2.3k

• dizcza/MCMC_BinaryNet

  Markov Chain Monte Carlo binary network optimization

  Language:Python104

• AngusG/tensorflow-xnor-bnn

  BinaryNets in TensorFlow with XNOR GEMM op

  Language:C++15539

• thuml/Xlearn

  Transfer Learning Library

  Language:Jupyter Notebook465155

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.4k3.8k

• jiecaoyu/pytorch-nin-cifar10

  pytorch implementation of network-in-network model on cifar10

  Language:Python5111

• haitongli/knowledge-distillation-pytorch

  A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

  Language:Python1.9k344

• xukai92/darksight

  Interpreting Deep Classifier by Visual Distillation of Dark Knowledge

  Language:Python355

• lopezpaz/distillation_privileged_information

  Code for "Unifying distillation and privileged information" (ICLR 2016).

  Language:TeX4822

• houlu369/Loss-aware-Binarization

  Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"

  Language:Python187

• joaoventura/full-speed-python

  Full Speed Python: a book for self-learners

  Language:Makefile4.1k598

• xitu/tensorflow-docs

  TensorFlow 最新官方文档中文版

  Language:Jupyter Notebook3.8k472

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14k2.3k

• antspy/quantized_distillation

  Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"

  Language:Python32978

• JeanKossaifi/tensorly-notebooks

  Tensor methods in Python with TensorLy

  Language:Jupyter Notebook429126

• zhanggyb/nndl

  Another Chinese Translation of Neural Networks and Deep Learning

  Language:TeX1.2k339

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.4k3.6k

• luhaofang/CACU

  This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.

  Language:C++8836

• uber-research/sbnet

  Sparse Blocks Networks

  Language:Python43691

• XJTUWYD/DoReFa_Cifar10

  implement of DoReFaNet with tensorflow based on cifar10 dataset

  Language:Python294

• ShichenLiu/CondenseNet

  CondenseNet: Light weighted CNN for mobile devices

  Language:Python694131