wxy1234567 / Resnet50-pruningLinks
☆15Updated 5 years ago
Alternatives and similar repositories for Resnet50-pruning
Users that are interested in Resnet50-pruning are comparing it to the libraries listed below
Sorting:
- A simple network quantization demo using pytorch from scratch.☆534Updated 2 years ago
- A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS☆28Updated 5 years ago
- 针对pytorch模型的自动化模型结构分析和修改工具集,包含自动分析模型结构的模型压缩算法库☆251Updated 2 years ago
- ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting (ICCV 2021)☆297Updated 2 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
- Pruning and quantization for SSD. Model compression.☆30Updated 4 years ago
- Model Quantization Benchmark☆830Updated 4 months ago
- An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.☆225Updated 3 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆282Updated 4 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆444Updated last year
- EQ-Net [ICCV 2023]☆30Updated 2 years ago
- An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map☆151Updated 4 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆915Updated 4 years ago
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆255Updated 4 years ago
- Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).☆39Updated 2 years ago
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆151Updated 2 years ago
- OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM☆309Updated 11 months ago
- In this repository using the sparse training, group channel pruning and knowledge distilling for YOLOV4,☆32Updated 2 years ago
- Offline Quantization Tools for Deploy.☆136Updated last year
- base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc☆47Updated 2 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- Pruned model: VGG & ResNet-50☆18Updated 6 years ago
- ☆14Updated 4 years ago
- Try out different pruning-approaches on lightweight Backbones.☆146Updated 5 years ago
- This is 8-bit quantization sample for yolov5. Both PTQ, QAT and Partial Quantization have been implemented, and present the results based…☆107Updated 3 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆83Updated 2 years ago
- Model Compression 1. Pruning(BN Pruning) 2. Knowledge Distillation (Hinton) 3. Quantization (MNN) 4. Deployment (MNN)☆79Updated 4 years ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆347Updated 2 years ago
- Quantize,Pytorch,Vgg16,MobileNet☆42Updated 4 years ago
- B站Efficient-Neural-Network学习分享的配套代码☆301Updated 3 years ago