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1. Modeling-Earthquake-Damage Modeling-Earthquake-Damage Public

   Richter's Predictor: Modeling Earthquake Damage - Based on aspects of building location and construction, predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal.The …

   Jupyter Notebook 7

2. Traffic-Sign-Detection-Using-Yolov5 Traffic-Sign-Detection-Using-Yolov5 Public

   YOLOv5 is the latest version of YOLO family of object detection models. It's the first YOLO implementation in PyTorch (rather than Darknet) and emphasizes ease of use and quickness of training and …

   Jupyter Notebook 15 3

3. Traffic-sign-detection-using-detectron2 Traffic-sign-detection-using-detectron2 Public

   Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.Detectron2 is Facebook AI Research's next generation library that provides state-of-the-art detection …

   Jupyter Notebook 3

4. EfficientNetV2-Pytorch EfficientNetV2-Pytorch Public

   EfficientNetV2: Smaller Models and Faster Training. PyTorch Implementation of EfficientNetV2 Family

   Jupyter Notebook 6

5. 3D-Object-Detection-using-Complex-YOLOv4-LiDAR-Dataset 3D-Object-Detection-using-Complex-YOLOv4-LiDAR-Dataset Public

   3D Object Detection using Complex YOLOv4| LiDAR Dataset

   Jupyter Notebook 1

6. Advancing-Traffic-Sign-Detection-with-YOLOv9-Evaluation-on-a-Custom-Dataset Advancing-Traffic-Sign-Detection-with-YOLOv9-Evaluation-on-a-Custom-Dataset Public

   Advancing Traffic Sign Detection with YOLOv9: Evaluation on a Custom Dataset

   Jupyter Notebook