Ranking666 / Base-quantization
base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc
☆42Updated 2 years ago
Alternatives and similar repositories for Base-quantization:
Users that are interested in Base-quantization are comparing it to the libraries listed below
- Post-Training Quantization for Vision transformers.☆201Updated 2 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆115Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆261Updated 3 years ago
- Offline Quantization Tools for Deploy.☆122Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆121Updated 2 years ago
- LSQ+ or LSQplus☆61Updated last year
- Quantize,Pytorch,Vgg16,MobileNet☆41Updated 4 years ago
- A set of examples around MegEngine☆31Updated last year
- ☆34Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆86Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆52Updated last year
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆160Updated 4 years ago
- OpenPose uses Pytorch for static quantization, saving, and loading of models☆82Updated 3 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆286Updated 8 months ago
- EQ-Net [ICCV 2023]☆27Updated last year
- An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)☆33Updated 5 years ago
- Reproducing Quantization paper PACT☆59Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆34Updated last year
- ☆21Updated 2 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 2 years ago
- BitSplit Post-trining Quantization☆48Updated 3 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆95Updated 3 years ago
- ☆44Updated 3 years ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆72Updated 7 months ago
- Based of paper "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆61Updated 4 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 3 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆128Updated 4 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆38Updated 4 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆55Updated 5 years ago
- A pytorch implementation of dorefa quantization☆112Updated 5 years ago