HuangCongQing / model-compression-optimizationLinks
model compression and optimization for deployment for Pytorch, including knowledge distillation, quantization and pruning.(知识蒸馏,量化,剪枝)
☆18Updated 11 months ago
Alternatives and similar repositories for model-compression-optimization
Users that are interested in model-compression-optimization are comparing it to the libraries listed below
Sorting:
- The official (TMLR) implementation of LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration☆18Updated 2 weeks ago
- [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory☆70Updated last year
- ☆48Updated 2 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆26Updated last year
- Pruning and quantization for SSD. Model compression.☆30Updated 4 years ago
- provide some new architecture, channel pruning and quantization methods for yolov5☆29Updated last week
- ☆35Updated last year
- Official implementation for "Knowledge Distillation with Refined Logits".☆14Updated last year
- EQ-Net [ICCV 2023]☆30Updated 2 years ago
- Quantize pytorch model, support post-training quantization and quantization aware training methods☆14Updated 2 years ago
- Model Compression 1. Pruning(BN Pruning) 2. Knowledge Distillation (Hinton) 3. Quantization (MNN) 4. Deployment (MNN)☆79Updated 4 years ago
- The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://ope…☆38Updated 3 years ago
- TensorRT 2022 亚军方案,tensorrt加速mobilevit模型☆68Updated 3 years ago
- channel pruning for accelerating very deep neural networks☆13Updated 4 years ago
- Quantize,Pytorch,Vgg16,MobileNet☆42Updated 4 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆75Updated 2 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆58Updated 2 years ago
- In this repository using the sparse training, group channel pruning and knowledge distilling for YOLOV4,☆32Updated 2 years ago
- RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration☆23Updated 2 months ago
- Implementation of Conv-based and Vit-based networks designed for CIFAR.☆70Updated 2 years ago
- ☆15Updated 5 years ago
- [CVPRW 2021] Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms☆29Updated 2 years ago
- A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS☆28Updated 5 years ago
- 🐱 ncnn int8 模型量化评估☆13Updated 2 years ago
- 模型压缩demo(剪枝、量化、知识蒸馏)☆77Updated 5 years ago
- The official implementation of paper PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search☆30Updated last year
- A minimal Tensorflow2.0 implementation of Resnet on CIFAR10 dataset.☆13Updated 4 years ago
- An onnx-based quantitation tool.☆71Updated last year
- ☆14Updated 4 years ago