hahnyuan / PTQ4ViT
Post-Training Quantization for Vision transformers.
☆191Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for PTQ4ViT
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆113Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆254Updated 3 years ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆308Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆83Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆52Updated last year
- LSQ+ or LSQplus☆58Updated last year
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆276Updated 6 months ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆115Updated 2 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆124Updated 4 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆54Updated 8 months ago
- ☆34Updated last year
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆95Updated 2 years ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆55Updated 5 months ago
- ☆214Updated 2 years ago
- ☆18Updated 8 months ago
- ☆68Updated 2 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆32Updated 2 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆90Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆42Updated last year
- EQ-Net [ICCV 2023]☆26Updated last year
- base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc☆39Updated 2 years ago
- ☆195Updated 3 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆46Updated 2 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆54Updated 5 years ago
- Offline Quantization Tools for Deploy.☆116Updated 10 months ago
- BitSplit Post-trining Quantization☆47Updated 2 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆413Updated last year
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆95Updated 3 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆41Updated 3 years ago
- DeiT implementation for Q-ViT☆23Updated 2 years ago