TropComplique / trained-ternary-quantizationLinks
Reducing the size of convolutional neural networks
☆112Updated 7 years ago
Alternatives and similar repositories for trained-ternary-quantization
Users that are interested in trained-ternary-quantization are comparing it to the libraries listed below
Sorting:
- Implementation for Trained Ternary Network.☆107Updated 8 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆56Updated 6 years ago
- ☆213Updated 6 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 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
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆146Updated 7 years ago
- Code example for the ICLR 2018 oral paper☆151Updated 7 years ago
- Caffe Implementation for Incremental network quantization☆192Updated 6 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆113Updated 5 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- ☆53Updated 6 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆186Updated 4 years ago
- A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)☆40Updated 6 years ago
- PyTorch Implementation of Weights Pruning☆185Updated 7 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Updated 8 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 6 years ago
- DNN quantization with outlier channel splitting☆112Updated 5 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆77Updated 6 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆177Updated 2 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆230Updated 3 years ago
- Training Low-bits DNNs with Stochastic Quantization☆73Updated 7 years ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆17Updated 5 years ago
- Pytorch Implementation using Binary Weighs and activation.Accuracies are comparable .☆44Updated 5 years ago
- Compress neural network with pruning and quantization using TensorFlow.☆106Updated 6 years ago
- implementation of Iterative Pruning for Deep neural network [Han2015].☆40Updated 6 years ago
- Keras implementations of BinaryNet and XNORNet☆55Updated 7 years ago
- Reproduction of WAGE in PyTorch.☆42Updated 6 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆335Updated 10 months ago
- implement of DoReFaNet with tensorflow based on cifar10 dataset☆29Updated 7 years ago