dongyp13 / Stochastic-Quantization
Training Low-bits DNNs with Stochastic Quantization
☆73Updated 7 years ago
Alternatives and similar repositories for Stochastic-Quantization:
Users that are interested in Stochastic-Quantization are comparing it to the libraries listed below
- Implementation of Ternary Weight Networks In Caffe☆63Updated 8 years ago
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆56Updated 7 years ago
- Caffe implementation of accurate low-precision neural networks☆117Updated 6 years ago
- Implementation for Trained Ternary Network.☆108Updated 8 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- Related Paper of Efficient Deep Neural Networks☆86Updated 3 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
- Binary Weight Network and XNOR Network.☆63Updated 8 years ago
- Efficient forward propagation for BCNNs☆50Updated 7 years ago
- Caffe Implementation for Incremental network quantization☆190Updated 6 years ago
- Simple pruning example using Caffe☆33Updated 7 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆155Updated 7 years ago
- XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe☆31Updated 6 years ago
- implement of DoReFaNet with tensorflow based on cifar10 dataset☆29Updated 7 years ago
- Caffe implementation for dynamic network surgery.☆186Updated 7 years ago
- Training deep neural networks with low precision multiplications☆63Updated 9 years ago
- Added quantization layer into caffe (support a coarse level fixed point simulation)☆22Updated 8 years ago
- ☆47Updated 5 years ago
- ☆63Updated 6 years ago
- An improved version of SqueezeNet networks https://github.com/DeepScale/SqueezeNet☆37Updated 7 years ago
- An experimental compression pipeline for TensorFlow.☆27Updated 9 years ago
- This is a really simple compression of Caffe Model☆24Updated 7 years ago
- Low-rank convolutional neural networks☆96Updated 8 years ago
- ☆45Updated 5 years ago
- Ristretto: Caffe-based approximation of convolutional neural networks.☆30Updated 6 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☆146Updated 6 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆71Updated 6 years ago
- Implementation of "Iterative pruning" on TensorFlow☆160Updated 3 years ago
- Hopefully fast implementation of XNOR-Net in C, because, why not?☆26Updated 7 years ago
- ☆33Updated 7 years ago