luhaofang / CACUELinks
CACU's Evolution version
☆17Updated 2 years ago
Alternatives and similar repositories for CACUE
Users that are interested in CACUE are comparing it to the libraries listed below
Sorting:
- This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.☆88Updated 8 years ago
- This is a really simple compression of Caffe Model☆24Updated 8 years ago
- XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe☆30Updated 7 years ago
- Caffe: a fast open framework for deep learning.☆23Updated 7 years ago
- Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions (in Caffe)☆34Updated 7 years ago
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆56Updated 7 years ago
- Depth_conv for MobileNet☆30Updated 5 years ago
- Caffe re-implementation of ShuffleNet☆106Updated 7 years ago
- optimized caffe for GBD☆26Updated 8 years ago
- A caffe implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.☆52Updated 6 years ago
- ShuffleNet implementation in mxnet☆41Updated 7 years ago
- ☆27Updated 8 years ago
- Training the inception resnet v2 architecture in caffe☆44Updated 8 years ago
- Related Paper of Efficient Deep Neural Networks☆86Updated 4 years ago
- Top-1 Acc=61.0% on ImageNet, without any sacrificing compared with SqueezeNet v1.1.☆22Updated 7 years ago
- MXNet port of R-FCN☆51Updated 8 years ago
- caffe implement☆23Updated 4 years ago
- VGG16 architecture with BatchNorm☆14Updated 8 years ago
- training wide residual networks in caffe☆19Updated 8 years ago
- Added quantization layer into caffe (support a coarse level fixed point simulation)☆22Updated 8 years ago
- A simplify version of mobilenet, with less group and feature maps, trained on Imagenet.☆17Updated 7 years ago
- Focal loss for mxnet SSD example.☆23Updated 7 years ago
- Heterogeneous Run Time version of MXNet. Added heterogeneous capabilities to the MXNet, uses heterogeneous computing infrastructure frame…☆72Updated 7 years ago
- The network of the faceboxes☆15Updated 7 years ago
- the loss function in Aritcal ‘Focal Loss for Dense Object Detection‘’☆17Updated 7 years ago
- Code to convert a MXNet model into Caffe (C++)☆53Updated 8 years ago
- Spatial Transformer Networks☆76Updated 8 years ago
- auto Iterative pruning based on caffe☆22Updated 7 years ago
- This is re-implementation of "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"☆158Updated 7 years ago
- Binary Weight Network and XNOR Network.☆63Updated 9 years ago