Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
☆336Jul 25, 2024Updated last year
Alternatives and similar repositories for quantized_distillation
Users that are interested in quantized_distillation are comparing it to the libraries listed below
Sorting:
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆246Aug 30, 2022Updated 3 years ago
- a list of awesome papers on deep model ompression and acceleration☆348Jun 19, 2021Updated 4 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 2019Updated 7 years ago
- ☆213Nov 23, 2018Updated 7 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Jan 22, 2019Updated 7 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆281Dec 8, 2023Updated 2 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Mar 8, 2020Updated 5 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆186Mar 28, 2021Updated 4 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆631Nov 9, 2020Updated 5 years ago
- Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.☆12Aug 15, 2019Updated 6 years ago
- Reducing the size of convolutional neural networks☆112Nov 28, 2017Updated 8 years ago
- Implementation for Trained Ternary Network.☆108Jan 13, 2017Updated 9 years ago
- Implementation of model compression with knowledge distilling method.☆342Jan 3, 2017Updated 9 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆404Feb 26, 2021Updated 5 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,088May 2, 2024Updated last year
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Sep 17, 2018Updated 7 years ago
- Proximal Mean-field for Neural Network Quantization☆21Apr 9, 2020Updated 5 years ago
- Awesome Knowledge Distillation☆3,817Dec 25, 2025Updated 2 months ago
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,914Mar 31, 2023Updated 2 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆106Sep 9, 2019Updated 6 years ago
- Caffe Implementation for Incremental network quantization☆190Jul 29, 2018Updated 7 years ago
- Code example for the ICLR 2018 oral paper☆152May 31, 2018Updated 7 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆396Dec 14, 2020Updated 5 years ago
- ☆137Oct 22, 2018Updated 7 years ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆928Mar 9, 2023Updated 2 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Jul 25, 2019Updated 6 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 5 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Jun 7, 2020Updated 5 years ago
- Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf☆264Oct 3, 2019Updated 6 years ago
- Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv!)☆81Feb 10, 2018Updated 8 years ago
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,980Mar 25, 2023Updated 2 years ago
- Two-Step Quantization on AlexNet☆13Jun 29, 2018Updated 7 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆283Dec 11, 2024Updated last year
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆129Jan 2, 2020Updated 6 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Jun 10, 2021Updated 4 years ago
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,546Aug 28, 2019Updated 6 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,449Aug 30, 2024Updated last year
- Quantization of Convolutional Neural networks.☆250Aug 5, 2024Updated last year
- Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet☆46Sep 19, 2018Updated 7 years ago