zhaohui-yang / XNORnet-PyTorch
Pack XNOR modules
☆20Updated 5 years ago
Alternatives and similar repositories for XNORnet-PyTorch:
Users that are interested in XNORnet-PyTorch are comparing it to the libraries listed below
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆59Updated 3 years ago
- Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…☆38Updated 3 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
- Structured Binary Neural Networks for Image Recognition☆16Updated 2 years ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆17Updated 5 years ago
- ☆38Updated 2 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆71Updated 4 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆58Updated 4 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆32Updated 5 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 4 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆58Updated 4 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆184Updated 3 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆129Updated 4 years ago
- Conditional channel- and precision-pruning on neural networks☆73Updated 5 years ago
- A pytorch implementation of DoReFa-Net☆134Updated 5 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆42Updated 3 years ago
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆20Updated 3 years ago
- Pytorch implementations of the BNN, XNOR-Net and BiReal-Net☆15Updated 4 years ago
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆53Updated last year
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- ☆47Updated 4 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- Code for paper "Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach"☆18Updated 4 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆130Updated 5 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆40Updated 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
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆34Updated 3 years ago