stevenygd / WAGE.pytorch
Reproduction of WAGE in PyTorch.
☆41Updated 6 years ago
Alternatives and similar repositories for WAGE.pytorch:
Users that are interested in WAGE.pytorch are comparing it to the libraries listed below
- DNN quantization with outlier channel splitting☆112Updated 4 years ago
- Code example for the ICLR 2018 oral paper☆151Updated 6 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
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 4 years ago
- ☆53Updated 5 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 5 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆32Updated 5 years ago
- ☆36Updated 5 years ago
- ☆213Updated 6 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 5 years ago
- Reducing the size of convolutional neural networks☆114Updated 7 years ago
- Code for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions☆35Updated 4 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 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☆57Updated 4 years ago
- A pytorch implementation of DoReFa-Net☆133Updated 5 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆73Updated 5 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆39Updated last year
- Simulator for BitFusion☆95Updated 4 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆241Updated 2 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆30Updated 10 months ago
- Implementation of Ternary Weight Networks In Caffe☆62Updated 8 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆166Updated 4 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆57Updated 4 years ago
- pytorch fixed point training tool/framework☆34Updated 4 years ago
- Pytorch Implementation using Binary Weighs and activation.Accuracies are comparable .☆41Updated 5 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 5 years ago
- ☆55Updated 4 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆55Updated 5 years ago