Discover MuntahaShams/Style-Transfer Open Source project

Stars
1
Language
Jupyter Notebook
Created over 4 years ago
Updated over 4 years ago

MuntahaShams

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

In this notebook, we’ll recreate a style transfer method that is outlined in the paper, Image Style Transfer Using Convolutional Neural Networks, by Gatys in PyTorch.

Heart-Disease-Prediction-using-Neural-Networks

This project will focus on predicting heart disease using neural networks. Based on attributes such as blood pressure, cholestoral levels, heart rate, and other characteristic attributes, patients will be classified according to varying degrees of coronary artery disease

Jupyter Notebook

breast-cancer-detection-

breast cancer detection using KNN and SVM

Jupyter Notebook

Cloths-length-measurement

The model is able to predict long and short sleeves t-shirts, jackets, tops , shirt as well as trouser, jeans, skirts etc. Then length is measured in pixels using OpenCV.

Python

Object-detection-using-YOLOv3

YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, I had applied the YOLO algorithm to detect objects in images ,videos and webcam

Jupyter Notebook

Face-recongnition-on-windows

face-recognition on windows in easiest way

Python

Oriented-FAST-and-Rotated-BRIEF-ORB

ORB is Computer vision technique uses for object detection,this code will extract face of person from group picture

Jupyter Notebook

practice

HTML

stock_market-prediction

using linear regression model stock market prices can be predicted

Python

Character-level-LSTM-Pytorch

In this notebook, I'll construct a character-level LSTM with PyTorch. The network will train character by character on some text, then generate new text character by character. As an example, I will train on Anna Karenina. This model will be able to generate new text based on the text from the book!

Jupyter Notebook

OPTIMIZING-A-HEALTHCARE-NETWORK

OPTIMIZING A HEALTHCARE NETWORK

Jupyter Notebook

Attention-Basics

In this notebook, we look at how attention is implemented. We will focus on implementing attention in isolation from a larger mode

Jupyter Notebook

Sentiments-classification

Sentiment Classification & How To "Frame Problems" for a Neural Network

Jupyter Notebook

coursera-data-and-deployment-specialiation

this repo contain complete solutions of exercises and examples

Jupyter Notebook

German-Traffic-Sign-Classification

Jupyter Notebook

async-rust

this repo contain an article on how to fetching data from the PokéAPI using async/.awaite featured by RUST

linear_regression

this is a data set of a country where people died due to aids in 1980s to 1992 perform linear regression to see wht changes have been made to lower the death rate between 1992 to 2000

Python

MuntahaShams/Style-Transfer

MuntahaShams

Reviews

Repository Details

More Repositories