nesruler's starred repositories
Orbital2020
NUS Year 1 CP2106 (Independent Software Development Project (Orbital)) - The Free Market [Difficulty Attempted : Artemis (Extreme)] [Judge's Choice Award]
ultralytics
NEW - YOLOv8 ๐ in PyTorch > ONNX > OpenVINO > CoreML > TFLite
stable-diffusion-webui
Stable Diffusion web UI
SentimentSeeker-Movie-Review-Analyzer
A deep learning project for classifying movie reviews as positive or negative using neural network models with embedding layers and dropout regularization. The project includes data preprocessing, model training, and evaluation with metrics like accuracy, precision, and ROC AUC.
R-E-Commerce-Stock-Analysis
A comprehensive analysis of e-commerce stocks (SBUX, AMZN, CASY) using R for data import, price trend visualization, return calculations, statistical summaries, and hypothesis testing to guide investment decisions.
FraudFilter-AI-Ensemble-Call-Scam-Detector
This project involves the development of a machine learning pipeline to classify phone calls as 'scam' or 'not scam' based on historical call data. The goal is to enhance telecommunications security by identifying and alerting on potential scam calls.
Advanced-ML-Techniques-for-Waste-Classification-and-Employee-Ratings-Prediction
This repository contains the code for training and evaluating a Convolutional Neural Network (CNN) to classify waste images from the RealWaste dataset.
CNN-Fruit-Classifier
Fruit Classifier using CNN: A deep learning project to classify different types of fruits using Convolutional Neural Networks (CNN). This project aims to automate fruit identification for applications in food production and agriculture.
CNN-Cats-Vs-Dogs
This project aims to streamline the process of identifying and categorizing pet images, which can be beneficial for applications in pet adoption services, veterinary clinics, and automated photo management systems.
PCA-SVM-FaceDetection
PCA and SVM-Based Face Detection and Recognition System
VisionAnything-SAM-OpenAI
A real-time image segmentation application using the Segment Anything Model (SAM) and deep learning to assist in children's cognitive development by identifying everyday objects.
Nasrullah_Portfolio_HTML
Using basic html, css and javascript
3d-game-shaders-for-beginners
๐ฎ A step-by-step guide to implementing SSAO, depth of field, lighting, normal mapping, and more for your 3D game.
topic-modeling
Retrieving real time breaking news from https://www.reuters.com/breakingviews and building topic modeling using Latent Dirichlet Allocation and Latent Semantic Analysis