penhunt / full-quantization-DNN
PyTorch code for full quantization of DNN using BCGD
☆14Updated 5 years ago
Alternatives and similar repositories for full-quantization-DNN
Users that are interested in full-quantization-DNN are comparing it to the libraries listed below
Sorting:
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 6 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 6 years ago
- implement of DoReFaNet with tensorflow based on cifar10 dataset☆29Updated 7 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 5 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Updated 8 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago
- DNN quantization with outlier channel splitting☆112Updated 5 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- ☆56Updated 4 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆56Updated 6 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆59Updated 4 years ago
- Reducing the size of convolutional neural networks☆112Updated 7 years ago
- Reproduction of WAGE in PyTorch.☆42Updated 6 years ago
- ☆46Updated 5 years ago
- Training Low-bits DNNs with Stochastic Quantization☆73Updated 7 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 5 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 6 years ago
- Two-Step Quantization on AlexNet☆13Updated 6 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- ☆39Updated 2 years ago
- ☆46Updated 5 years ago
- Repository containing pruned models and related information☆37Updated 4 years ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆17Updated 5 years ago
- Optimizing Deep Convolutional Neural Network with Ternarized Weights and High Accuracy☆15Updated 6 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 5 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 4 years ago