penhunt / full-quantization-DNN
PyTorch code for full quantization of DNN using BCGD
☆14Updated 5 years ago
Alternatives and similar repositories for full-quantization-DNN:
Users that are interested in full-quantization-DNN are comparing it to the libraries listed below
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- implement of DoReFaNet with tensorflow based on cifar10 dataset☆29Updated 7 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 5 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 5 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆42Updated 6 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆33Updated 5 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆39Updated last year
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆57Updated 4 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Updated 8 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆56Updated 6 years ago
- ☆46Updated 5 years ago
- DNN quantization with outlier channel splitting☆112Updated 4 years ago
- ☆55Updated 4 years ago
- Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.☆9Updated 6 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated 8 months ago
- Two-Step Quantization on AlexNet☆13Updated 6 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago
- ☆45Updated 5 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 5 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- ☆38Updated 2 years ago
- Reducing the size of convolutional neural networks☆113Updated 7 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- ☆28Updated 4 years ago
- ☆35Updated 4 years ago
- Code example for the ICLR 2018 oral paper☆151Updated 6 years ago