MajidAli44

CCResponse-Backend

cv2

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

E-COMMERECE-PYTHON

Face_Detection_Real_Time

FaceRecoginition

Complete Attendance Project using Python & OpenCV

LaneLineDetection

Real Time Road lane Line Detection. Complete Source code and explanation.

MajidAli44

Config files for my GitHub profile.

Mini-Project

OpenCVExtra

MajidAli44/CCResponse-Backend

MajidAli44/cv2

MajidAli44/deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

MajidAli44/E-COMMERECE-PYTHON

MajidAli44/Face_Detection_Real_Time

MajidAli44/FaceRecoginition

Complete Attendance Project using Python & OpenCV

MajidAli44/LaneLineDetection

Real Time Road lane Line Detection. Complete Source code and explanation.

MajidAli44/MajidAli44

Config files for my GitHub profile.

MajidAli44/Mini-Project

MajidAli44/OpenCVExtra

MajidAli44/Product-Sales-Outlet-at-BigMart-Datawarehouse

he data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.

MajidAli44/Rock-vs-Mine-Prediction-Using-Machine-Learning

There is war is going on between two countries submarine of the country is going under the water to another country and enemy country planted some mines in the oceans mine are nothing but explosive that explodes when some object comes in contact with it and there can be rocks in the ocean so submarine needs to predict whether it is crossing mine or rock our job is to make a system that can predict whether the object beneath the submarine is a mine or a rock so how this is done is submarine uses sonar signal that sends sound and receives switchbacks so this signal in the processed to detect whether the object is a mine or it's just a rock in the ocean to predict the rock and mine we use some types of algorithms like Logistic Regression.

MajidAli44/Statistics

MajidAli44/Tkinter

MajidAli44/Traffic-Signs-Recognition

Recognition of traffic signs is vary important in many applications such as in self-driving car/driverless car, traffic mapping and traffic surveillance. Recently, deep learning models demonstrated prominent representation capacity, and achieved outstanding performance in traffic sign recognition. In this paper, we propose a traffic sign recognition system by applying convolutional neural network (CNN)[15]. In comparison with previous methods which usually use CNN as feature extractor and multi-layer perception (MLP) as classifier, we proposed max pooling positions (MPPs) as an effective discriminative feature to predict category labels. Through extensive experiments, MPPs demonstrates the ideal characteristics of small inter-class variance and large intra-class variance. Moreover, with the German Traffic Sign Recognition Benchmark (GTSRB), outstanding performance has been achieved by using MPPs.

MajidAli44/Warp

MajidAli44/WebScraping

MajidAli44/yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

MajidAli44/YOLOv8-Train-on-Custom-Datasets

MajidAli44/YouTube-Video-Thumbnails-Generation