denru01 / netadapt
This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications".
☆181Updated last year
Related projects ⓘ
Alternatives and complementary repositories for netadapt
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆156Updated 4 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆274Updated 11 months ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆153Updated 3 months ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆369Updated 3 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆239Updated 2 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆258Updated last year
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆113Updated 4 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆176Updated 3 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆179Updated 4 years ago
- Quantization of Convolutional Neural networks.☆239Updated 3 months ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆166Updated 3 years ago
- This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.☆173Updated 3 years ago
- papers about model compression☆165Updated last year
- ☆259Updated 5 years ago
- ☆120Updated 4 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆305Updated last year
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆428Updated 11 months ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆351Updated 4 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆267Updated 2 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆164Updated 4 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 4 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆376Updated 5 years ago
- ☆213Updated 5 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆413Updated last year
- ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch☆140Updated 8 months ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆231Updated 2 years ago
- A pytorch implementation of DoReFa-Net☆131Updated 4 years ago
- alibabacloud-quantization-networks☆121Updated 5 years ago