Omar Sayed Mostafa's repositories
Deep-learning-Colorization-for-visual-media
Automatic colorization for gray scale (images/ videos) based on Deep-Learning using (Python & Tensorflow)
OIDv4.1_ToolKit_Download_Open_Images_Support_Yolo_Format
Download and visualize single or multiple classes from the huge Open Images v4 dataset
Face-analysis
Face detection, recognition, gender classification, emotion classification
clinical_concept_extraction
Clinical Concept Extraction with Contextual Word Embedding
pytorch-upper-Maxilla-and-lower-Mandible-jaws-semantic-segmentation
pytorch segmentation for upper (Maxilla) and lower(Mandible) jaws in a DICOM file. The Dataset is provided as 2D slices from all 3 orthogonal points of view Axial, Coronal, and Sagittal.
All-helper-function-needed-for-train-and-test-keras-model
all helpers and utilities function needed to train and test a keras model included data set loading and valid/test set evaluation on each class and over all classes , and included too saving result to .csv file and model paramters as .json file
All-in-one-FaceDetection
this is a collected repos for most famous algorithms and models for face detection.
Anchor-Boxes-with-KMeans
How to initialize Anchors in Faster RCNN for custom dataset?
cocoapi
COCO API - Dataset @ http://cocodataset.org/
CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
deepface
A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python
Image-Classification-with-small-size-train-set-data-using-learning-ternsfare
image classification for small size train set for each class
jeelizGlassesVTOWidget
JavaScript/WebGL glasses virtual try on widget. Real time webcam experience, robust to all lighting conditions, high end 3D PBR rendering, easy to integrate, fallback to server-side rendering
keras-kit
high level helpers functions for keras API
keras-retinanet
Keras implementation of RetinaNet object detection.
machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
netron
Visualizer for neural network, deep learning and machine learning models
research-charnet
CharNet: Convolutional Character Networks
Scenes-Classification-transfer-learning
transfer learning from places-365-vgg16 CNN
semantic-segmentation-tutorial-pytorch
A simple PyTorch codebase for semantic segmentation using Cityscapes.
tensorflow-101
TensorFlow 101: Introduction to Deep Learning for Python
TensorFlow-2.x-YOLOv3
YOLOv3 implementation in TensorFlow 2.3.1
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
YOLO-Annotation-Tool
This is for create the training set of image to YOLO
yoloface
Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)