Cov19d_2nd
ECCV 2022 Workshop: AI-enabled Medical Image Analysis – Digital Pathology & Radiology/COVID19 : An easy-to-understand and lightweight Transfer Learning-based solutions for COVID-19 diagnosis
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Iccv 2023 Papers | 806 | 3 months ago | mit | Python | ||||||
| ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development! | ||||||||||
| Artificio | 269 | 5 years ago | 3 | apache-2.0 | Python | |||||
| Deep Learning Computer Vision Algorithms for Real-World Use | ||||||||||
| Pytorch In Real Life | 60 | 3 years ago | 1 | mit | Jupyter Notebook | |||||
| Contains real-life example that can be solved by pytorch | ||||||||||
| Pretrained Yolo V4 | 36 | 4 months ago | other | MATLAB | ||||||
| Object detection and transfer learning using pretrained YOLO v4 models in MATLAB. | ||||||||||
| Deeplearning Course | 18 | a year ago | Jupyter Notebook | |||||||
| My exercises in the deep learning course | ||||||||||
| Object Detection Using Pretrained Yolo V2 | 16 | 4 months ago | other | |||||||
| YOLO v2 prediction and training in MATLAB for Object Detection with darknet19 & tinyYOLOv2 base networks | ||||||||||
| Pretrained Efficientdet D0 | 15 | 6 months ago | 1 | other | MATLAB | |||||
| Object detection and transfer learning using pretrained EfficientDet-D0 model in MATLAB. | ||||||||||
| Machine_part_defect Detection | 12 | 3 months ago | 2 | apache-2.0 | Jupyter Notebook | |||||
| Classification of automotive parts as defective and non-defective with transfer learning. | ||||||||||
| Flood Detection From Images Using Deep Learning | 10 | 2 years ago | 1 | Jupyter Notebook | ||||||
| Flood detection from images using deep learning. Deep learning library KERAS was employed and MobileNet architecture was fine-tuned for image classification task. | ||||||||||
| Aptos2019blindnessdetection | 9 | 5 years ago | 1 | mit | Jupyter Notebook | |||||
| (Bronze medal - 163rd place - Top 6%) Repository for the "APTOS 2019 Blindness Detection" Kaggle competition. | ||||||||||
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