SongYu Han's repositories
HNUIDG-Fault-Diagnosis-
The intelligent fault diagnosis of HNU IDG
awesome-github-profile-readme
😎 A curated list of awesome GitHub Profile READMEs 📝
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
github-readme-stats
:zap: Dynamically generated stats for your github readmes
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
AI-for-Time-Series-Papers-Tutorials-Surveys
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
dataset
医学影像数据集列表 『An Index for Medical Imaging Datasets』
mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
model-vs-human
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
DeltaPapers
Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
MobileSAM-pytorch
Reproduction of MobileSAM using pytorch
OpenDelta
A plug-and-play library for parameter-efficient-tuning (Delta Tuning)
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
Time-Series-Library
A Library for Advanced Deep Time Series Models.
Train_Custom_Dataset
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法