mahdi-darvish/YOLOv3-from-Scratch-Analaysis-and-Implementation

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Created over 3 years ago
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mahdi-darvish/YOLOv3-from-Scratch-Analaysis-and-Implementation

mahdi-darvish

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Diving into Object Detection and Localization with YOLOv3 and its architecture, also implementing it using PyTorch and OpenCV from scratch.

GAN-Augmented-Pet-Classifier

Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection - Paper Implementation and Supplementary Materials

Jupyter Notebook

Instance-Segmentation-via-Training-Mask-RCNN-on-Custom-Dataset

Combining Google Open Images with COCO-dataset weights and training a Mask R-CNN model to accurately create a instance mask for pumpkins ;)

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Comparative-Analysis-of-ConvNet-Architecture-on-Bird-Species-Dataset

An implementation of famous convolutional neural networks on Bird species dataset using Python 3, Keras, and Tensorflow.

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COVID-19_Analysis_and_Visualization

Tracking and Visualizing the spread of COVID-19 worldwide with a special focus on Iran.

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Convolutional-Neural-Network-on-Fashion-MNIST

CNN Modeling on Fashion MNIST dataset. 80% Accuracy on three epochs.

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kodklub

Cloud_Segmentation_using_Mask_R-CNN

compiler

centermask

data-structures-with-python-GUI

mahdi-darvish.github.io

cv

centermask-weight

End-to-End-Price-Analysis-and-Prediction

Jupyter Notebook