DeadAt0m / LSQFakeQuantize-PyTorchLinks
FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
☆36Updated 3 years ago
Alternatives and similar repositories for LSQFakeQuantize-PyTorch
Users that are interested in LSQFakeQuantize-PyTorch are comparing it to the libraries listed below
Sorting:
- ☆44Updated 4 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 3 years ago
- ☆48Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆263Updated 2 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆37Updated 4 years ago
- ☆78Updated 3 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆138Updated 5 years ago
- ☆49Updated 3 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆113Updated 4 years ago
- ☆36Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Updated 2 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆284Updated 4 years ago
- ☆57Updated 4 years ago
- Inference of quantization aware trained networks using TensorRT☆83Updated 2 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 4 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 5 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆279Updated last year
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- PyTorch Quantization Aware Training Example☆146Updated last year
- Batch Normalization Auto-fusion for PyTorch☆32Updated 5 years ago
- PyTorch Static Quantization Example☆38Updated 4 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆125Updated 2 months ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- TQT's pytorch implementation.☆21Updated 3 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆129Updated 5 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆23Updated 2 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Updated 5 years ago