cornell-zhang / dnn-gating
Conditional channel- and precision-pruning on neural networks
☆72Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for dnn-gating
- DNN quantization with outlier channel splitting☆112Updated 4 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆56Updated 4 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆57Updated 4 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆36Updated 3 years ago
- Post-training sparsity-aware quantization☆33Updated last year
- BitSplit Post-trining Quantization☆47Updated 2 years ago
- ☆38Updated last year
- A pytorch implementation of DoReFa-Net☆131Updated 4 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆69Updated 4 years ago
- Reproduction of WAGE in PyTorch.☆41Updated 6 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆124Updated 4 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆59Updated 3 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆31Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆28Updated 5 years ago
- ☆47Updated 2 years ago
- [ICLR 2021] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vi…☆30Updated 8 months ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆16Updated 5 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- A pytorch implementation of dorefa quantization☆112Updated 4 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆54Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆95Updated 3 years ago
- ☆55Updated 3 years ago
- Reproducing Quantization paper PACT☆56Updated 2 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆32Updated 2 years ago
- ☆47Updated 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
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆56Updated 2 years ago
- ☆36Updated 5 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 3 years ago