xindubawukong / LQ-Nets_PytorchLinks
☆11Updated 5 years ago
Alternatives and similar repositories for LQ-Nets_Pytorch
Users that are interested in LQ-Nets_Pytorch are comparing it to the libraries listed below
Sorting:
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆42Updated 3 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆81Updated 2 years ago
- ☆19Updated 5 years ago
- Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…☆39Updated 3 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆130Updated 5 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆60Updated 3 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆71Updated 4 years ago
- A pytorch implementation of DoReFa-Net☆133Updated 5 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Updated 3 years ago
- An implementation of ResNet with mixup and cutout regularizations and soft filter pruning.☆16Updated 4 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆179Updated 5 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆55Updated 5 years ago
- ☆15Updated 2 years ago
- Pruning Filters For Efficient ConvNets, PyTorch Implementation.☆30Updated 5 years ago
- A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS☆28Updated 4 years ago
- channel pruning for accelerating very deep neural networks☆13Updated 4 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆64Updated 3 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 6 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆145Updated 4 years ago
- ☆47Updated 4 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆134Updated 4 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆259Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆32Updated 9 months ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆59Updated 4 years ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆57Updated 3 years ago
- Reproducing Quantization paper PACT☆64Updated 2 years ago
- Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc☆25Updated 4 years ago