Trains a keras neural network on data of the solved schrodinger's equation. The inputs of this model are samples from the potential from within the infinite asymmetric potential well and the output is samples from the solved wavefunction. The data is collected by solving the schrodinger's equation using a numeric method called the Runge-Kutta me…

Applies the Deep Q Learning algorithm using a convolutional neural network to have an agent learn to fight zombies in a closed minecraft environment. This is done using Microsoft's Project Malmo (to create the environment) and tensorflow/keras to structure the network.

यह संग्रह आध्यात्मिक शिक्षाओं का एक चयन है, जिसमें संत कबीर के भजन और दोहे, महत्वपूर्ण उद्धरण, और आध्यात्मिकता से संबंधित प्रमुख शब्दों और विषयों की परिभाषाएँ शामिल हैं।

Uses the Neural Network API I created to create a handwritten digit recognizer wrapped in an android app. The user can draw a number on the canvas and the app will guess what number it is.

A text-based grid world framework for reinforcement learning agents to play around in. In general, the goal for the agent is to solve the maze in as few steps as possible. This is done using plenty of reinforcement learning algorithms including policy iteration, value iteration, sarsa, monte carlo methods, and iterative policy evaluation.

This is a project in which I wrote code to simulation the spread of infection using the SIR model. Analysis of the convergence and stability of the model is done in the report. Additionally, I used a Neuro-Evolution algorithm to design different vaccination models to minimize the amount of infected people while using minimal vaccines

This serves a React app that connects to my Home Server to control some of the smart home devices in my house (mainly in my room). It makes them voice-controlled rather than only controlled by my phone.

A JavaFx Framework that will allow developers to create JavaFx games without having to deal with all the setup. Also includes additional features such as input controllers, servers, and more.

Uses the A* Pathfinding algorithm to make an enemy that will chase you throughout a map with houses and different types of terrain. The goal is to not get caught. Also, half the objects in the map are moving!

I used a genetic algorithm to train a neural network to play my version of the game flappy bird. I trained a variety of different models for many different configurations of the game and stored them into files.

A 3D Maze game in which you walk around a maze and can only see what's in front of you. There are portals and traps along the way to throw you off as well. You may either use the keyboard to control the character or the website from any other device on the network. Lastly, you can also just click a key to allow a reinforcement learning algorithm…

This is a server running in my home made using nodejs and express that I made to host files, control some of the smart devices in my house, and even send me emails when needed.

Rutherford scattering simulation using Jupyter notebook and python.

This project uses a Variational AutoEcoder combined with the haar cascade face detector to create a latent space which can be used to generate images of faces from the training dataset. The data set must be provided as a folder full of images with people's faces in them. Then, it will find the faces, apply preprocessing, and train a VAE on them.

This is a game that I created to show a fake origin of the moon and why it is a ball of cheese. It is a 3D game made with unity and you go on a quest to win a giant cheese ball contest, but when things don't go your way . . .

This project creates visualizations for Julia sets with different parameter configurations. Using java graphics and UI tools, the program is fully configurable from the GUI itself and it can create beautiful visualizations.

Analysis of COVID-19 data collected by John Hopkins using python. Created many different models, including Markov Chains, Recursive LRC Circuits, Recurrent Neural Networks, Logistic Models, etc. Wrote a report based on the finding of the data analysis of growth rates, derivatives, etc.

This is a fun game that I created using python and pygame in the Computer Science Club during my freshman year of high school. It includes modified versions of many classic games such as flappy bird, brick breaker, crossy road, etc.

These are some machine learning algorithms that I implemented while learning them using a youtube playlist. I first coded it by hand, then used a higher-level library named sklearn to do it.

This is a react app that connects to a python server to visualize, modify, and analyze some old server data. It has a variety of ways to effectively edit, save, and share a copy of modified data. Using machine learning and other data analysis methods, this app can also predict certain values and analyze the performance of some servers.