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abusive_urdu

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

coursera-crash-course-on-python

Part of Google IT Automation with Python Professional Certificate. Solutions of Practice Quiz and Module Graded Assessments

covid-19-detection-using-computer-vision

Application of Transfer learning and Deep Feature Extraction Networks to detect COVID-19 from Chest-CT Scans and Chest-X_rays

demo2

end-to-end-time-series

This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK

everything-python

Some exercises on the Python programming language

google_cloud_ai_ml

This repository contains code to learn AI and ML on Google Cloud Platform

hidden_emotion_detection_using_mm_signals

[CHI2021] Hidden emotion detection using multi-modal signals

intrusiondetection

Intrusion Detetction( KDD99)

intrusiondetection-1

Implementation of different machine learning algorithms to find the best predictor of Intrusion Detection.

machinelearning

Machine LearningTutorials

network-intrusion-detection

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

pcan

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight

py

Repository to store sample python programs for python learning

self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

singularity-data-science

Data Science Course Materials

stock-market-analysis-and-prediction-using-time-series-analysis

This project is was done by me for my capstone project of my college. This project was about analysis of Time Series stock data of companies listed with National Stock Exchange. This project included models like ARIMA, Monte Carlo Simulation and Facebook Prophet library for analysis. This analysis also compared data using statistical measurements of stock data such as Simple Moving Averages, Volatility of Stock using Standard deviation, Calculation of Compounded Annual Growth Rate, calculating Sharpe Ratio and correlations.

stock_prediction_hybrid_model

A hybrid of ANN, RNN and Regressor models to predict stock prices

vehicle-detection-and-tracking-using-yolov3-and-deep-sort

I have used YOLOv3 Algorithm for Vehicle Detection and Deep Sort Algorithm for Vehicle Tracking. After tracking the vehicles I have tried counting the number of vehicles in each lane. This will help us in real life implementations like Toll Booths(To cross check the collection) and Traffic Lanes Rules Monitoring(To check if heavy vehicles are following the proper lanes or not).

vehicle_counting_tensorflow

"MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

workshop