slothkong / DNN-PruningLinks
A pyCaffe implementaion of the 2017 ICLR's "Pruning Filters for Efficient ConvNets" publication
☆43Updated 7 years ago
Alternatives and similar repositories for DNN-Pruning
Users that are interested in DNN-Pruning are comparing it to the libraries listed below
Sorting:
- 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 ICCV 2017 & TPAMI 2018 paper - ThiNet☆46Updated 6 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
- train resnet on imagenet from scratch with caffe☆113Updated last year
- Simple pruning example using Caffe☆33Updated 7 years ago
- Added quantization layer into caffe (support a coarse level fixed point simulation)☆22Updated 8 years ago
- Caffe Implementation for Incremental network quantization☆192Updated 6 years ago
- Caffe implementation for dynamic network surgery.☆186Updated 7 years ago
- ☆87Updated 6 years ago
- Merge Batch Norm caffe☆64Updated 6 years ago
- KnowledgeDistillation Layer (Caffe implementation)☆89Updated 7 years ago
- Caffe for Deep Compression☆239Updated 7 years ago
- ☆38Updated 8 years ago
- ☆26Updated 8 years ago
- implementation of Iterative Pruning for Deep neural network [Han2015].☆40Updated 6 years ago
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆56Updated 7 years ago
- mobilenet 与darknet yolo☆97Updated 7 years ago
- ☆135Updated 6 years ago
- Two-Step Quantization on AlexNet☆13Updated 6 years ago
- ☆46Updated 5 years ago
- This is a CNN Analyzer tool, based on Netscope by dgschwend/netscope☆41Updated 7 years ago
- Simulate quantization and quantization aware training for MXNet-Gluon models.☆46Updated 5 years ago
- This is my final year project of Bachelor of Engineering. Its still incomplete though. I am trying to replicate the research paper "Deep …☆76Updated 7 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆167Updated 4 years ago
- Related Paper of Efficient Deep Neural Networks☆86Updated 3 years ago
- A Basic Tutorial to learning Caffe with Python, including two examples for classification and detection, and codes to train, test, prune …☆139Updated 7 years ago
- Incremental Network Quantization, Kmeans quantization, Iterative Pruning, Dynamic Network Surgery☆33Updated 7 years ago
- Training Low-bits DNNs with Stochastic Quantization☆73Updated 7 years ago
- XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe☆30Updated 7 years ago
- This is a really simple compression of Caffe Model☆24Updated 8 years ago