zhutmost / lsq-net
Unofficial implementation of LSQ-Net, a neural network quantization framework
☆292Updated 11 months ago
Alternatives and similar repositories for lsq-net:
Users that are interested in lsq-net are comparing it to the libraries listed below
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆132Updated 4 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆272Updated 3 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆433Updated last year
- PyTorch implementation for the APoT quantization (ICLR 2020)☆271Updated 4 months ago
- LSQ+ or LSQplus☆67Updated 3 months ago
- Post-Training Quantization for Vision transformers.☆216Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆96Updated 3 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆120Updated last year
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆383Updated 4 years ago
- ☆230Updated 2 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆278Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆133Updated 3 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆258Updated 3 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆179Updated 5 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 3 years ago
- Quantization of Convolutional Neural networks.☆244Updated 9 months ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆161Updated 4 years ago
- ☆76Updated 2 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆55Updated 2 years ago
- Reproducing Quantization paper PACT☆64Updated 2 years ago
- A pytorch implementation of DoReFa-Net☆133Updated 5 years ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆336Updated 2 years ago
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆40Updated 4 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆185Updated 4 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆34Updated 3 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆88Updated last year