eladhoffer / quantized.pytorchLinks
☆213Updated 6 years ago
Alternatives and similar repositories for quantized.pytorch
Users that are interested in quantized.pytorch are comparing it to the libraries listed below
Sorting:
- Code example for the ICLR 2018 oral paper☆152Updated 7 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Updated 11 months ago
- ConvNet training using pytorch☆347Updated 4 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆231Updated 3 years ago
- Reducing the size of convolutional neural networks☆112Updated 7 years ago
- DNN quantization with outlier channel splitting☆113Updated 5 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆167Updated 4 years ago
- alibabacloud-quantization-networks☆121Updated 5 years ago
- PyTorch Implementation of Weights Pruning☆185Updated 7 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆115Updated 5 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆78Updated 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
- ☆46Updated 5 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆396Updated 4 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
- Quantization of Convolutional Neural networks.☆244Updated 11 months ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆155Updated last year
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 4 years ago
- ☆67Updated 5 years ago
- Caffe Implementation for Incremental network quantization☆192Updated 6 years ago
- PyTorch Implementation of XNOR-Net☆496Updated 2 years ago
- ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch☆139Updated last year
- Neural architecture search(NAS)☆14Updated 6 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆183Updated 4 years ago
- Implementation for Trained Ternary Network.☆108Updated 8 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 6 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆177Updated 2 years ago
- A pytorch implementation of DoReFa-Net☆133Updated 5 years ago