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Name: Shadi Momtahen
Type: User
Company: University of British Columbia
Location: Vancouver, Canada
Name: Shadi Momtahen
Type: User
Company: University of British Columbia
Location: Vancouver, Canada
This repo is for the Linkedin Learning course: Advanced AI: Transformers for Computer Vision
Python script to visualize predicted cancer burden vs. RCB values. Uses matplotlib, numpy for plotting, and sklearn for accuracy calculation. Scatter plot groups data based on cancer burden predictions, and regression analysis assesses the relationship. Shadi Momtahen
Deep learning project using TensorFlow to classify images of flowers from the "Flowers Recognition" dataset, which is an open-access dataset available on Kaggle: https://www.kaggle.com/alxmamaev/flowers-recognition
This project employs CNN, Logistic Regression, and SVM to classify brain tumors into distinct classes. Emphasizing accuracy and loss metrics, it provides a succinct evaluation of model performance. Standardized preprocessing ensures efficient training, and visualizations depict training accuracy and loss over epochs.
Image Classification with CNN
In this project, we explore various ML techniques for brain tumor classification, including Random Forest, Logistic Regression, CNNs, VGG16, Transfer Learning, GANs, and Computer Vision with BERT.
Cross-validated estimator to enhance the regression analysis
This project performs sentiment analysis on movie reviews using a deep learning model (LSTM) to classify them as positive or negative.
A deep learning classifier for males/females classification
Deep learning networks for classifications, with different architectures of Neural Networks and their configurations.
This repository contains a Python script for medical absorption prediction using ensemble learning. It preprocesses data, applies KNN-based Bagging Regressor, and generates visualizations. Ideal for researchers. Author: Shadi Momtahen. Scikit-learn, Pandas, Matplotlib referenced
Simple transformer implementation from scratch in pytorch.
Gradient Descent for Regression
A machine learning project showcasing image classification using a CNN model on the CIFAR-10 dataset. Demonstrates proficiency in Python, TensorFlow, and deep learning techniques.
Explore predictive healthcare analytics with this Python code. Utilizing Random Forest and CNN models, it analyzes COVID-19 infection data, showcasing preprocessing, training, and evaluation. A practical example for leveraging ML in biomedical data analysis for disease prediction.
The objective of this work is implementation of a pairwise classifier for two digits using regularized logistic regression classifier with a ridge (L2) regularization via mini-batch gradient descent.
Implementation of Logistic Regression via Gradient Descent (GD), using 9 features, and predict heart disease which has 2 classes (0 and 1).
Multi-class Classification using SoftMax Regression
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.