Discover @beetrandahiya Open Source projects

Prakrisht Dahiya (@beetrandahiya)

beetrandahiya

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Global Rank 227,796 (Top 8 %)
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Registered over 4 years ago
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JavaScript
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Python
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HTML
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CSS
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Jupyter Notebook
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SCSS 4.0 %
Location 🇩🇪 Germany
Country Total Rank 10,726
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SCSS 118

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ChelseaJS

ChelseaJS is a Javascript library for creative, generative Coding.

Periodic-Table

Periodica is a Beautiful yet extremely useful and intuitive Periodic Table representation.

Sidus

Sidus is a simple , user friendly and fast mathematical function plotter on web.

beetrandahiya

Projectile-Motion-Simulation

A simple projectile motion simulator made made using matter.js , it looks cool and ofc gonna help you see physically accurate projectile motion

project-Chelsea

Its a SVG animtion library , somewhat like p5js , but just not on canvas and svg, hence giving it more portability and customizability.

ChelseaJS-docs

Documentation for ChelseaJS

fancy-input

Fancy Input Text Boxes using HTML, CSS and JS.

python-upes

Spanish_vocabpractice

This program will help you learn Spanish vocabulary as it pops up a new Spanish word after ever 10 mins. This time interval can be changed very simply in the code.

Titanic-Survival-Prediction

This was my first step into machine learning, Its not new, I am just uploading it on Github now. Its a llinear regression model

Jupyter Notebook

Cats-VS-Dogs

This is my first nice machine learning model, This model gave a 97.85% accuracy in classifying between Cats and Dogs. I made it using a pre-trained base model MobileNet V2 , and after that i added a global average pooling and then a dense layer for categorization between two classes ( cats and dogs) , i used only one dense neuron in last layer even when i had to classify 2 classes because , as we know that in test data there will only be two type of images cats and dogs , so we can just classify dogs and then ones that doesn't qualify the classification are cats. It has been trained on a small dataset to show how a machine learning model can work well even on a small dataset if we use pre-trained models inn architecture.

Jupyter Notebook

plotter

Plotter is a mathematics function grapher , but what makes it special is that Its as simple as it could be. With No doubt the simplest and very small grapher out there.

beetrandahiya.github.io

orpheus3D

Webpage and repository for all my 3D Works

eportfolio-lc

cdn for my LC e-portfolio

Orbitals_in_python

A small collection of tools made by me, that you can use to visualize atomic orbitals in both 2D and 3D in different aspects.

BMI_calculator

This is a basic webpage, where you can find your BMI (Body Mass Index) and you might also find some nice suggestions.

beet_chat

This is a chat app, based on React and Firebase.

SidusSURFACE

A part of Sidus Initiative, which allows you to plot 3D Surfaces easily and efficiently.

plotter2.0

This is a newer and better version of plotter . It uses a new mathematics engine and will have more additions very soon.

Material_digital_clock

Material digital clock is a basic JS clock , its most amazing feature is that it shows time haha, and its serene look is definitely eye-soothing.

Simulation-of-motion-of-charged-particle

This is Simulation of motion of a charged particle inside a Uniform Electric field. It is probably the best use of matter.js I have ever done. Uniform Electric field apply a constant force. that can be calculated using the very simple formula F=qE . So, Enjoy the simulation , and follow me for more amazing stuff

Rocket-test

This is a simulation of a solid propellant rocket . The situations is a straight accent and descent , that means angle of launch is perpendicular to the surface and acceleration due to gravity is assumed constant throughout.

pyTTSx3-check-all-voices

This is a simple Python script that you can use to listen to all the installed TTS voices in your system. It will give an output of name , id, etc. for every voice. So, You can easily use the voice.id and use the voice you need. Happy Coding !!

Pi-Approximation-using-Leibniz-formula

In this program, I use Leibniz formula to approximate the value of pi ( π ), Its one of the simplest way u can approximate pi