mahsa's repositories
Animated-Astronaut
Advanced CSS Animation Effects | CSS Transition Transform & Animation
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
onlineResume
Check out my online resume
SpaceX-Falcon9-First-Stage-Landing-Prediction
In this capstone, we will predict if the Falcon 9 first stage will land successfully. SpaceX advertises Falcon 9 rocket launches on its website with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. Therefore if we can determine if the first stage will land, we can determine the cost of a launch. This information can be used if an alternate company wants to bid against SpaceX for a rocket launch. In this lab, you will collect and make sure the data is in the correct format from an API. The following is an example of a successful and launch.
clappr
:clapper: An extensible media player for the web.
insta-clone
Instagram frontend clone using React, Tailwind CSS, Heroicons
mahsakhorshiddoust
Config files for my GitHub profile.
opensource-website
Twitter's open source website, identifying projects we've released, organizations we support, and the work we do to support open source.
randomQuote
random quote generator
scribble-diffusion
Turn your rough sketch into a refined image using AI
video-action-recognizer
A cloud-native application for scalable video action recognition, built with TensorFlow, Python, React.js, and Node.js, deployed by Terraform IaC on AWS.
Weather-Station-Clustering-using-DBSCAN-scikit-learn
DBSCAN is especially very good for tasks like class identification in a spatial context. The wonderful attribute of DBSCAN algorithm is that it can find out any arbitrary shape cluster without getting affected by noise. For example, this following example cluster the location of weather stations in Canada. <Click 1> DBSCAN can be used here, for instance, to find the group of stations which show the same weather condition. As you can see, it not only finds different arbitrary shaped clusters, can find the denser part of data-centered samples by ignoring less-dense areas or noises.