FatemehHabibimoghaddam

FatemehHabibimoghaddam's Stars

• ahmad10010110/GAN

  Generative Adversarial Network

  Language:Jupyter Notebook1

• ahmad10010110/machine-learning-final-project

  cnn / dense

  Language:Jupyter Notebook1

• saharabdi/Smart_Web_Nexus

  Language:Python1

• saharabdi/Team_MLOps

  1

• reza-fazel/Object-Counting-and-Tracking-in-Videos-using-YOLO8-and-Advanced-Techniques

  Language:Python1

• reza-fazel/Human-Emotion-New

  Language:Jupyter Notebook4

• saharabdi/Heart-attack-diagnosis

  Diagnosing a heart attack using machine learning (Neural Network & DT)

  Language:Jupyter Notebook1

• AlirezaAnbari/Recipe-App-API

  Recipe API project

  Language:Python1

• AlirezaAnbari/mysite

  Create my first website with django

  Language:SCSS2

• Peyman2012/Review-and-daily-stock-returns

  Language:Jupyter Notebook2

• 4amirhm/data-science-from-scratch

  code for Data Science From Scratch book

  1

• 4amirhm/amirhmcs50

  cs50 python curse

  Language:Python1

• 4amirhm/university-ranking

  Analyzing university ranking dataset

  Language:Jupyter Notebook8

• 4amirhm/Market_Analysis

  Analyzing NYA market

  Language:Jupyter Notebook8

• FarzadNekouee/Enhanced_MRI_Tumor_Classification_Web_App

  Reliable MRI brain tumor detection for various types including pituitary, meningioma, glioma. Focused on high accuracy in diverse image qualities. Features a Streamlit web app for practical deployment.

  Language:Jupyter Notebook11

• FarzadNekouee/YOLOv8_Traffic_Density_Estimation

  A YOLOv8-based project for real-time traffic density estimation. It employs fine-tuned vehicle detection models to analyze and count vehicles per frame, aiding urban traffic management and planning. The repository includes model training, traffic intensity analysis, and deployment strategies.

  Language:Jupyter Notebook3210

• FarzadNekouee/Facial_Analysis_with_Mask_Detection

  AI-powered tool for Facial Attribute Analysis. It accurately predicts age, gender, race, and emotions for unmasked faces. Enhanced to detect masked faces, ensuring reliable analysis in real-world scenarios. Utilizes DeepFace for in-depth insights.

  Language:Jupyter Notebook13

• Mari94k/Genes-Analysis

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• FarzadNekouee/WeatherProof_PetDetection_App

  This project presents a weather-proof model for accurate detection of dogs and cats, streamlined for desktop application. Utilizing renowned models, transfer learning, data augmentation, and weather effects, we've achieved a robust solution ready for real-world deployment.

  Language:Jupyter Notebook101

• sntk-76/Market-analyze

  In this project, we analyze a financial market in the data set containing four crucial values: 1. open price 2. close price 3. high price 4. low price.

  Language:Jupyter Notebook5

• sntk-76/analyzing-Ukraine-war

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• sntk-76/line-detection

  Language:C++4

• sntk-76/corrupted-image-and-patches

  Language:C++4

• sntk-76/google-play-data-analysis

  in this project I analyse the google play apps in base of the diiferent category and their usage with the use of the python, dataframe library

  Language:Jupyter Notebook6

• Samira-Shemirani/Mathematics_in_Python

  Here, you will get to know the projects related to the basic mathematical concepts of Python programming.

  Language:Jupyter Notebook8

• hamedanchi/Customer-Cluster

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• FarzadNekouee/Garbage_Classification_ResNet50_Scratch_to_Transfer-Learning

  In this project, we harness ResNet50 for garbage classification. Using a dataset pivotal for automating waste segregation, we address challenges like class imbalance with data augmentation and tailored metrics. The journey involves analyzing the dataset, confronting imbalances, and developing models from scratch and via transfer learning.

  Language:Jupyter Notebook14

• hamedanchi/simple-speech-recognition

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• hamedanchi/recommender-system-tutorial

  A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.

  4

• hamedanchi/NLP_Tweet-Classification

  Language:Jupyter Notebook4