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…
☆2,256Updated 4 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)☆915Updated 4 years ago
- yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏☆1,516Updated 5 years ago
- ☆1,501Updated 5 years ago
- A simple network quantization demo using pytorch from scratch.☆534Updated 2 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,514Updated 5 years ago
- Model Quantization Benchmark☆835Updated 4 months ago
- ☆669Updated 4 years ago
- Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"☆963Updated 3 years ago
- B站Efficient-Neural-Network学习分享的配套代码☆301Updated 3 years ago
- 在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)☆1,674Updated 2 years ago
- A curated list of neural network pruning resources.☆2,476Updated last year
- PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.☆1,745Updated last year
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆575Updated 6 years ago
- 72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models☆711Updated 4 years ago
- mobilenetv3 with pytorch,provide pre-train model☆1,773Updated 2 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆952Updated 5 months ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆570Updated 6 years ago
- 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
- Model analyzer in PyTorch☆1,495Updated 2 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆445Updated last year
- Summary, Code for Deep Neural Network Quantization☆552Updated 2 months ago
- A PyTorch implementation of MobileNet V2 architecture and pretrained model.☆1,398Updated 5 years ago
- RepVGG: Making VGG-style ConvNets Great Again☆3,417Updated 2 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,086Updated last year
- PaddleSlim is an open-source library for deep model compression and architecture search.☆1,604Updated last week
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆421Updated 5 years ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,928Updated last year
- YOLO ModelCompression MultidatasetTraining☆444Updated 3 years ago
- Efficient computing methods developed by Huawei Noah's Ark Lab☆1,293Updated 10 months ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,401Updated 2 years ago