666DZY666 / micronetLinks
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、reg…
☆2,267Updated 6 months ago
Alternatives and similar repositories for micronet
Users that are interested in micronet are comparing it to the libraries listed below
Sorting:
- Network Slimming (Pytorch) (ICCV 2017)☆917Updated 5 years ago
- ☆1,506Updated 5 years ago
- A simple network quantization demo using pytorch from scratch.☆539Updated 2 years ago
- yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏☆1,520Updated 5 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Updated 5 years ago
- Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"☆967Updated 3 years ago
- Model Quantization Benchmark☆850Updated 7 months ago
- A curated list of neural network pruning resources.☆2,485Updated last year
- B站Efficient-Neural-Network学习分享的配套代码☆302Updated 3 years ago
- 在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)☆1,676Updated 3 years ago
- ☆670Updated 4 years ago
- PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.☆1,770Updated last year
- 提供对YOLOv3及Tiny的多种剪枝版本,以适应不同的需求。☆801Updated 5 years ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆576Updated 6 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆953Updated 7 months ago
- 72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models☆719Updated 4 years ago
- Model analyzer in PyTorch☆1,501Updated 2 years ago
- mobilenetv3 with pytorch,provide pre-train model☆1,794Updated 2 years ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆576Updated 6 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆445Updated 2 years ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,939Updated last year
- Efficient computing methods developed by Huawei Noah's Ark Lab☆1,302Updated last year
- PyTorch DataLoaders implemented with DALI for accelerating image preprocessing☆886Updated 5 years ago
- PyTorch Project Specification.☆681Updated 4 years ago
- RepVGG: Making VGG-style ConvNets Great Again☆3,440Updated 2 years ago
- Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some…☆785Updated 4 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,085Updated last year
- Summary, Code for Deep Neural Network Quantization☆558Updated 5 months ago
- The implementation of various lightweight networks by using PyTorch. such as:MobileNetV2,MobileNeXt,GhostNet,ParNet,MobileViT、AdderNet,Sh…☆900Updated 3 years ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,400Updated 2 years ago