lmbxmu / RBNN
Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network
☆81Updated 2 years ago
Alternatives and similar repositories for RBNN:
Users that are interested in RBNN are comparing it to the libraries listed below
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆57Updated 3 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆60Updated 3 years ago
- ☆47Updated 4 years ago
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆132Updated 4 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 3 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆71Updated 4 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 4 years ago
- ☆39Updated 2 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
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆34Updated 3 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆58Updated 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 "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"☆104Updated 3 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆130Updated 5 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆258Updated 3 years ago
- Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation☆27Updated 4 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆32Updated 6 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆30Updated last year
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆60Updated 5 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆96Updated 3 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆55Updated 5 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆157Updated 4 years ago