This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Networks"
☆31Jul 25, 2019Updated 6 years ago
Alternatives and similar repositories for SYQ
Users that are interested in SYQ are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Two-Step Quantization on AlexNet☆13Jun 29, 2018Updated 7 years ago
- Caffe implementation of Optimal-Ternary-Weights-Approximation in "Two-Step Quantization for Low-bit Neural Networks" (CVPR2018).☆15Sep 21, 2018Updated 7 years ago
- Code example for the ICLR 2018 oral paper☆150May 31, 2018Updated 7 years ago
- [ECCV18] Constraint-Aware Deep Neural Network Compression☆12Sep 11, 2018Updated 7 years ago
- Training Low-bits DNNs with Stochastic Quantization☆74Aug 4, 2017Updated 8 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Caffe Implementation for Incremental network quantization☆191Jul 29, 2018Updated 7 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Sep 17, 2018Updated 7 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆245Aug 30, 2022Updated 3 years ago
- Caffe implementation of accurate low-precision neural networks☆119Oct 25, 2018Updated 7 years ago
- ☆12Jan 27, 2017Updated 9 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Nov 29, 2016Updated 9 years ago
- This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.☆87Jan 25, 2017Updated 9 years ago
- model-compression-and-acceleration-4-DNN☆21Nov 29, 2018Updated 7 years ago
- Implementation for Trained Ternary Network.☆108Jan 13, 2017Updated 9 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- implement of DoReFaNet with tensorflow based on cifar10 dataset☆28Nov 8, 2017Updated 8 years ago
- Android demo for dabnn☆20Oct 18, 2019Updated 6 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Jan 22, 2019Updated 7 years ago
- Tenary Weight Network implement using tensorflow☆11Nov 22, 2021Updated 4 years ago
- This code implements NICE papper☆20Oct 1, 2018Updated 7 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Jan 20, 2019Updated 7 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Jul 25, 2024Updated last year
- Face detection using Multi-scale Block Local Binary Pattern algorithm - optimized with OpenCL/OpenMP - Depreciated - pls use convolutiona…☆11Jul 16, 2017Updated 8 years ago
- ☆213Nov 23, 2018Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- PyTorch code for full quantization of DNN using BCGD☆14Jul 24, 2019Updated 6 years ago
- ☆47Feb 4, 2020Updated 6 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆166Mar 8, 2020Updated 6 years ago
- Reducing the size of convolutional neural networks☆113Nov 28, 2017Updated 8 years ago
- alibabacloud-quantization-networks☆120Nov 8, 2019Updated 6 years ago
- Efficient forward propagation for BCNNs☆50Jun 12, 2017Updated 8 years ago
- Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"☆20Feb 24, 2019Updated 7 years ago
- Adaptive floating-point based numerical format for resilient deep learning☆14Apr 11, 2022Updated 4 years ago
- Training Deep Neural Networks with binary weights during propagations☆382Feb 15, 2016Updated 10 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PyTorch Implementation of XNOR-Net☆493Feb 27, 2023Updated 3 years ago
- pytorch version of ShuffleNet and ShuffleNet V2☆24Aug 8, 2018Updated 7 years ago
- ☆16Jan 20, 2021Updated 5 years ago
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆192May 7, 2019Updated 7 years ago
- DNN quantization with outlier channel splitting (ICML'19)☆114Mar 21, 2020Updated 6 years ago
- Implementation of a Quantized Transformer Model☆20Mar 20, 2019Updated 7 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆129Jan 2, 2020Updated 6 years ago