zhujingyang520 / caffe-quantizationLinks
Added quantization layer into caffe (support a coarse level fixed point simulation)
☆22Updated 8 years ago
Alternatives and similar repositories for caffe-quantization
Users that are interested in caffe-quantization are comparing it to the libraries listed below
Sorting:
- A pyCaffe implementaion of the 2017 ICLR's "Pruning Filters for Efficient ConvNets" publication☆43Updated 7 years ago
- This is a CNN Analyzer tool, based on Netscope by dgschwend/netscope☆42Updated 7 years ago
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆56Updated 7 years ago
- Simple pruning example using Caffe☆33Updated 7 years ago
- XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe☆30Updated 7 years ago
- Merge Batch Norm caffe☆64Updated 6 years ago
- Simulate quantization and quantization aware training for MXNet-Gluon models.☆46Updated 5 years ago
- train resnet on imagenet from scratch with caffe☆113Updated last year
- Caffe implementation of accurate low-precision neural networks☆117Updated 6 years ago
- KnowledgeDistillation Layer (Caffe implementation)☆89Updated 8 years ago
- ☆110Updated 6 years ago
- Tool to compress trained caffe weights☆106Updated 9 years ago
- A caffe implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.☆52Updated 6 years ago
- ☆30Updated 7 years ago
- Related Paper of Efficient Deep Neural Networks☆86Updated 4 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆72Updated 6 years ago
- ☆38Updated 8 years ago
- Training Low-bits DNNs with Stochastic Quantization☆74Updated 7 years ago
- Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet☆46Updated 6 years ago
- ☆33Updated 5 years ago
- Caffe Computation Graph Optimization.☆29Updated 5 years ago
- Binary Weight Network and XNOR Network.☆63Updated 9 years ago
- Darknet for MobileNet v2☆81Updated 7 years ago
- This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.☆88Updated 8 years ago
- Caffe: a fast open framework for deep learning.☆23Updated 7 years ago
- caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342☆147Updated 6 years ago
- Caffe implementation of Dynamic Network Surgery and Incremental Network Quantization☆15Updated 7 years ago
- ShuffleNet implementation in mxnet☆41Updated 7 years ago
- mobilenet 与darknet yolo☆97Updated 7 years ago
- ☆27Updated 8 years ago