Hyeji-Kim / ENC
ENC: A fast network compression platform - Caffe Implementation
☆22Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for ENC
- Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet☆46Updated 6 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆113Updated 4 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 4 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆239Updated 2 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☆146Updated 6 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆156Updated 4 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆71Updated 6 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆33Updated 5 years ago
- ☆45Updated 5 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆166Updated 3 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆42Updated 6 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆32Updated 5 years ago
- ☆55Updated 3 years ago
- ☆66Updated 5 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆107Updated 4 years ago
- ☆87Updated 6 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆164Updated 4 years ago
- Pytorch version for weight pruning for Murata Group's CREST project☆57Updated 6 years ago
- Implementation of NetAdapt☆30Updated 4 years ago
- ☆38Updated 6 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆75Updated 6 years ago
- A pyCaffe implementaion of the 2017 ICLR's "Pruning Filters for Efficient ConvNets" publication☆43Updated 6 years ago
- Apply the pruning strategy for MobileNet_v2☆51Updated 5 years ago
- Some recent Quantizing techniques on PyTorch☆71Updated 5 years ago
- A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)☆40Updated 5 years ago
- PyTorch Implementation of Weights Pruning☆184Updated 6 years ago
- Codes of Approximated Oracle Filter Pruning☆32Updated 2 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 4 years ago