There are no reviews yet. Be the first to send feedback to the community and the maintainers!
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 diseasebreast-cancer-detection-
breast cancer detection using KNN and SVMCloths-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.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 webcamFace-recongnition-on-windows
face-recognition on windows in easiest wayOriented-FAST-and-Rotated-BRIEF-ORB
ORB is Computer vision technique uses for object detection,this code will extract face of person from group picturepractice
stock_market-prediction
using linear regression model stock market prices can be predictedCharacter-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!OPTIMIZING-A-HEALTHCARE-NETWORK
OPTIMIZING A HEALTHCARE NETWORKAttention-Basics
In this notebook, we look at how attention is implemented. We will focus on implementing attention in isolation from a larger modeSentiments-classification
Sentiment Classification & How To "Frame Problems" for a Neural NetworkStyle-Transfer
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.coursera-data-and-deployment-specialiation
this repo contain complete solutions of exercises and examplesasync-rust
this repo contain an article on how to fetching data from the PokéAPI using async/.awaite featured by RUSTlinear_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 2000Love Open Source and this site? Check out how you can help us