SteveTsui / ReBNN
☆12Updated last year
Alternatives and similar repositories for ReBNN
Users that are interested in ReBNN are comparing it to the libraries listed below
Sorting:
- 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
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 8 months ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆44Updated 7 months ago
- ☆15Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆14Updated 2 years ago
- ☆76Updated 2 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆88Updated last year
- ☆34Updated 2 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 3 years ago
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆35Updated last year
- ☆20Updated 6 months ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆15Updated last year
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆34Updated 3 years ago
- ☆22Updated 6 months ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆32Updated 3 years ago
- super-resolution; post-training quantization; model compression☆12Updated last year
- LSQ+ or LSQplus☆67Updated 3 months ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆25Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆55Updated 2 years ago
- EQ-Net [ICCV 2023]☆29Updated last year
- ☆17Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Updated last year
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆22Updated last year
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago
- In progress.☆63Updated last year
- DeiT implementation for Q-ViT☆24Updated 3 weeks ago
- Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket☆69Updated 2 years ago