khawlahAltuwairqi
AI Researcher | ML Engineer | Computer Vision | NLP | Data Scientist |
Saudi Arabia, Riyadh
Pinned Repositories
Deploying-a-Sentiment-Analysis-Model
This project construct a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set.
Dog-Breed-Classifier
This project build a pipeline to process real-world, user-supplied images. Given an image of a dog, the algorithm will identify an estimate of the canine’s breed.
Face-Generation
This project uses generative adversarial networks to generate new images of faces.
face_classification
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
Generate-TV-Scripts
This project generate the TV scripts using Recurrent Neural Networks
MemeMe2.0
The MemeMe 2.0 is an app that enables a user to take a picture, and add text at the top and bottom to form a meme, and share that meme on Facebook and Twitter and also by SMS or email. In this project, sent memes appears in a tab view with two tabs: a table view and a collection view.
OnTheMap
On the map is an app with a map that shows information posted by other students. The map contain pins that show the location where other students have reported studying. By tapping on the pin users can see a URL for something the student finds interesting. The user also able to add their own data by posting a string that can be geocoded to a location, and a URL.
PitchPerfect
Its an iPhone app that allow users to record their voice and will then modulate the recorded audio to sound like a Chipmunk or Darth Vader. This app also let the user speed up or slow down the rate of playback, and experience fun echo and reverb effects.
Predicting-Bike-Sharing-Patterns
This project build Neural Network from scratch to predict the number of bikeshare users on a given day.
khawlahAltuwairqi's Repositories
khawlahAltuwairqi/Deploying-a-Sentiment-Analysis-Model
This project construct a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set.
khawlahAltuwairqi/Generate-TV-Scripts
This project generate the TV scripts using Recurrent Neural Networks
khawlahAltuwairqi/OnTheMap
On the map is an app with a map that shows information posted by other students. The map contain pins that show the location where other students have reported studying. By tapping on the pin users can see a URL for something the student finds interesting. The user also able to add their own data by posting a string that can be geocoded to a location, and a URL.
khawlahAltuwairqi/PitchPerfect
Its an iPhone app that allow users to record their voice and will then modulate the recorded audio to sound like a Chipmunk or Darth Vader. This app also let the user speed up or slow down the rate of playback, and experience fun echo and reverb effects.
khawlahAltuwairqi/Dog-Breed-Classifier
This project build a pipeline to process real-world, user-supplied images. Given an image of a dog, the algorithm will identify an estimate of the canine’s breed.
khawlahAltuwairqi/Face-Generation
This project uses generative adversarial networks to generate new images of faces.
khawlahAltuwairqi/face_classification
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
khawlahAltuwairqi/MemeMe2.0
The MemeMe 2.0 is an app that enables a user to take a picture, and add text at the top and bottom to form a meme, and share that meme on Facebook and Twitter and also by SMS or email. In this project, sent memes appears in a tab view with two tabs: a table view and a collection view.
khawlahAltuwairqi/Predicting-Bike-Sharing-Patterns
This project build Neural Network from scratch to predict the number of bikeshare users on a given day.