submission2019 / AnalyticalScaleForIntegerQuantizationLinks
Example for applying Gaussian and Laplace clipping on activations of CNN.
☆34Updated 6 years ago
Alternatives and similar repositories for AnalyticalScaleForIntegerQuantization
Users that are interested in AnalyticalScaleForIntegerQuantization are comparing it to the libraries listed below
Sorting:
- ☆57Updated 4 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- DNN quantization with outlier channel splitting☆113Updated 5 years ago
- ☆46Updated 5 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆59Updated 4 years ago
- Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation☆27Updated 4 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 6 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- ☆39Updated 2 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 5 years ago
- ☆47Updated 4 years ago
- implement of DoReFaNet with tensorflow based on cifar10 dataset☆29Updated 7 years ago
- ☆67Updated 5 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆115Updated 5 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆112Updated 3 years ago
- [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆14Updated 4 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- ☆44Updated 3 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- PyTorch code for full quantization of DNN using BCGD☆14Updated 5 years ago
- Code needed to reproduce results from my ICLR 2019 paper on fixed-point quantization of the backprop algorithm.☆10Updated 6 years ago
- ☆35Updated 5 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆158Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆97Updated 4 years ago