QingbeiGuo / WSPLinks
Weak Sub-network Pruning for Strong and Efficient Neural Networks, Neural Networks, 2021
☆14Updated 2 years ago
Alternatives and similar repositories for WSP
Users that are interested in WSP are comparing it to the libraries listed below
Sorting:
- Official implementation for SparseSwin: Swin transformer with sparse transformer block☆15Updated last year
- ☆9Updated 4 months ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Updated 5 years ago
- PyTorch implementation of "Dynamic Structure Pruning for Compressing CNNs" (AAAI 2023 Oral)☆25Updated last year
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by S…☆10Updated 5 years ago
- ☆10Updated 2 years ago
- YOLOv4 + Multi Head Self Attention☆8Updated 3 years ago
- The official implementation of "NAS-BNN: Neural Architecture Search for Binary Neural Networks"☆13Updated 10 months ago
- Energy-based Dropout and Pruning of Deep Neural Networks☆11Updated 4 years ago
- Official implementation for "Pruning Randomly Initialized Neural Networks with Iterative Randomization"☆10Updated 3 years ago
- Self-grouping Convolutional Neural Networks, Neural Networks, 2020☆22Updated 2 years ago
- This is an implementation of YOLO using LSQ network quantization method.☆23Updated 3 years ago
- TBNv2: Convolutional Neural Network With Ternary Inputs and Binary Weights☆17Updated 5 years ago
- Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," Interna…☆17Updated 4 years ago
- [CVPR 2022] Learnable Lookup Table for Neural Network Quantization☆39Updated 2 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆22Updated 2 years ago
- Neural Network Quantization With Fractional Bit-widths☆12Updated 4 years ago
- High-Resolution Cloud Detection Network☆16Updated 11 months ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago
- SDA-xNet: Selective Depth Attention Networks for Adaptive Multi-scale Feature Representation, IEEE Transactions on Artificial Intelligenc…☆20Updated last year
- Try to implement "Efficient Super Resolution Using Binarized Neural Network" by PyTorch.☆9Updated 6 years ago
- Code for "Fast Sparse ConvNets" CVPR2020 submissions☆13Updated 5 years ago
- ☆13Updated 4 years ago
- Code for Composite Binary Decomposition Networks☆10Updated 4 years ago
- An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.☆48Updated 8 months ago
- ☆10Updated 7 months ago
- ☆10Updated 4 months ago
- [CVPR 2024] Offical implementation for A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network☆25Updated 7 months ago
- ☆24Updated 6 months ago
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆26Updated 2 years ago