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airport-management-db

A fully-functional CLI-based database management system built using Python and MySQL.

amogha027.github.io

backpropagation-algorithm

Implementation of Back Propagation algorithm along with its variants such as RProp and QuickProp.

car-racing-game

A 3D car racing game built using ThreeJS and WebGL

clash-of-clans

Extended the code base of a terminal game in Python.

clinical-analytics-model

Created an analytical model for health of a cohort based on latest data using Cube.dev

data2vis

Pytorch implementation of the paper Data2Vis using Encoder-Decoder architecture with attention mechanism.

dcgan-and-diffusion-model

Implemented Deep Convolutional GAN and Diffusion Model architecture using Pytorch and compared the results of these models on CIFAR-10 dataset using the inception score.

distributed_file_system

dsa-assignments

All the assignments of the course - Data Structures and Algorithms.

dsa-codes

Standard Implementation of the data structures and algorithms.

enhanced-xv6

Tweaked the existing xv6 by adding system calls, three other scheduling policies, namely FCFS, PBS, MLFQ, and copy on write fork.

ensemble-learning

Implementation of two major ensemble learning methodologies, Bagging and Stacking, over the tasks of classification and regression. Also, compared the results of Random Forests with multiple Boosting Techniques.

greddit

A online social media application built using MERN stack.

iss_assignment

jetpack-joyride

A 2D game similar to Jetpack Joyride built in C++ using OpenGL

kde-and-hmm

Implementation kernel density estimation (KDE) from scratch and used it to solve the bounding box problem. Also, applied hidden markov models (HMM) in the given two problems.

linear-regression

Implemented bias-variance trade-off and linear regression in Jupyter notebook

linux-shell

A user-defined Unix-based interactive shell program in C which supports all the shell commands

pca-and-clustering

Implemented the Principal Component Analysis (PCA) & performed dimensionality reduction. Implemented Hierarchical clustering EM algorithm for GMM and performed the clustering operations.

perceptron-algorithm-and-cnn

Implementation of perceptron algorithm for both classification and regression tasks. Trained a CNN model on the MNIST dataset and also implemented the autoencoder to denoise the noisy MNIST dataset.

rnn-lstm

Implementation of RNN (Recurrent Neural Network) for Auto Regressive Models and learning the long term dependencies using LSTM (Long short-term Memory).

safety-device-for-fall-detection

A safety device which detects the fall of industrial worker from chimneys

smart-home-security-device

A smart IoT device which detects human movement in its environment

starter-c0de

supervised-ml-algorithms

Implemented separate classes for the supervised machine learning algorithms, k Nearest Neighbours algorithm and Decision Tree algorithm.

transformers

Pytorch implementation of Transformers model from scratch. Also, implemented Denoising Autoencoder to remove noise from an MNIST image.

vreqst

vreqst-2

vreqst-deploy