Hyeji-Kim / ENCLinks
ENC: A fast network compression platform - Caffe Implementation
☆22Updated 6 years ago
Alternatives and similar repositories for ENC
Users that are interested in ENC are comparing it to the libraries listed below
Sorting:
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆114Updated 5 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆168Updated 4 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆195Updated 5 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆353Updated 5 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 3 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆182Updated 5 years ago
- Neural architecture search(NAS)☆14Updated 6 years ago
- ☆214Updated 6 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆384Updated 6 years ago
- Pytorch version for weight pruning for Murata Group's CREST project☆57Updated 7 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 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☆147Updated 7 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆112Updated 5 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 6 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆72Updated 7 years ago
- Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures☆164Updated 4 years ago
- ☆46Updated 6 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆157Updated last year
- alibabacloud-quantization-networks☆122Updated 6 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.☆273Updated 7 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Updated last year
- Network acceleration methods☆177Updated 4 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆319Updated 6 years ago
- PyTorch Implementation of Weights Pruning☆184Updated 7 years ago
- ☆66Updated 6 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆396Updated 4 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆179Updated 3 years ago
- deep learning model compression based on keras☆32Updated 7 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆231Updated 3 years ago