yaozhewei / HAP
☆43Updated last year
Alternatives and similar repositories for HAP
Users that are interested in HAP are comparing it to the libraries listed below
Sorting:
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- ☆76Updated 2 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- Code for ICML 2021 submission☆34Updated 4 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆54Updated 2 years ago
- ☆25Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆31Updated 8 months ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆60Updated 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
- ☆17Updated 2 years ago
- ☆39Updated 2 years ago
- Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…☆63Updated 9 months ago
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆43Updated 3 years ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago
- Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"☆18Updated 2 years ago
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆31Updated 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
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆28Updated 4 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
- ☆47Updated 4 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 3 years ago
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆40Updated 4 years ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…☆13Updated 3 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆33Updated last year
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆20Updated 3 years ago
- A collection of research papers on efficient training of DNNs☆70Updated 2 years ago
- In progress.☆63Updated last year
- Generic Neural Architecture Search via Regression (NeurIPS'21 Spotlight)☆36Updated 2 years ago