yukang2017 / NAS-quantizationLinks
The code for Joint Neural Architecture Search and Quantization
☆13Updated 6 years ago
Alternatives and similar repositories for NAS-quantization
Users that are interested in NAS-quantization are comparing it to the libraries listed below
Sorting:
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆60Updated 4 years ago
- ☆25Updated 3 years ago
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆16Updated 3 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆73Updated 4 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- Personal Digest of NAS (Under Construction 🛠)☆25Updated 4 years ago
- ☆15Updated 5 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
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆31Updated last year
- TBNv2: Convolutional Neural Network With Ternary Inputs and Binary Weights☆17Updated 5 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 3 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Updated 3 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- ☆17Updated 2 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- ☆28Updated 3 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 3 years ago
- ☆12Updated 2 years ago
- ☆39Updated 2 years ago
- Artifact for IPDPS'21: DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions.☆13Updated 4 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆26Updated last year
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆56Updated 2 years ago
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆13Updated 5 months ago
- Towards Compact CNNs via Collaborative Compression☆11Updated 3 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆20Updated 3 years ago
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆17Updated 3 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago