Lakshya Gupta's Projects
ML model to determine price of car based on certain features.
In this project, I try to automate Google's dino game using Convolutional Neural Networks which makes use of computer vision to constantly predict the dino's move on the basis of the game objects' relative distance with respect to the dinosaur!
In this project, I have made a simulation of the disaster recovery system for a banking institution in scenarios of Earthquakes and Information Breach using Python, MySQL and PyGame
In this project, I implement and compare the different distributed training techniques from data parallelization and model parallelization from scratch using PyTorch
Here, I basically try to describe a way of thinking for different unique problems in the hope that I can refer back to this repository as revision material.
This is my first mini project wherein I delve into data analysis of a SAT dataset using Numpy, Pandas and Matplotlib!
Experiments for a comparative analysis on 3D Gaussian Splatting and Instant NGP for complex scenes and sparse-views
This app helps you with guitar fretboard note memorization.
Implementation of InstantSplat where Dust3r is used instead of colmap for points initialization
Allows an individual to maintain a journal. 1 entry per day that can be added, edited and deleted.
Classifying movie genres based on movie posters using Federated Learning with neural networks (done along with @ChaosAdmStudent)
The aim of this project done with @Anannyap7 is to equip the music industry with a way to collaborate with third party developers without exposing their data. This has been accomplished using Federated Learning and the implementation of the concept has been shown on the simple task of Music Genre Classification.
A simple website allowing logged in users to create notes! Backend using Python, database using SQLAlchemy
Made a Handwritten Polynomial Equation Solver using CNN with @Anannyap7
In this group project carried out with @Anannyap7, the aim is to take a professional badminton match video as an input and predict the most probable space on the court where the shot will be hit by the player on the near side of the court.
My first try at using Selenium to scrape information off the internet! I used https://brainquotes.com/ as my source
A console-based Tic Tac Toe game!