Pinned Repositories
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.
Amogha027's Repositories
Amogha027/Airport-Management-DB
A fully-functional CLI-based database management system built using Python and MySQL.
Amogha027/Amogha027.github.io
Amogha027/BackPropagation-algorithm
Implementation of Back Propagation algorithm along with its variants such as RProp and QuickProp.
Amogha027/Car-Racing-Game
A 3D car racing game built using ThreeJS and WebGL
Amogha027/Clash-of-Clans
Extended the code base of a terminal game in Python.
Amogha027/Clinical-analytics-model
Created an analytical model for health of a cohort based on latest data using Cube.dev
Amogha027/Data2Vis
Pytorch implementation of the paper Data2Vis using Encoder-Decoder architecture with attention mechanism.
Amogha027/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.
Amogha027/distributed_file_system
Amogha027/DSA-assignments
All the assignments of the course - Data Structures and Algorithms.
Amogha027/DSA-codes
Standard Implementation of the data structures and algorithms.
Amogha027/Enhanced-xv6
Tweaked the existing xv6 by adding system calls, three other scheduling policies, namely FCFS, PBS, MLFQ, and copy on write fork.
Amogha027/Greddit
A online social media application built using MERN stack.
Amogha027/Jetpack-Joyride
A 2D game similar to Jetpack Joyride built in C++ using OpenGL
Amogha027/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.
Amogha027/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.
Amogha027/Linear-Regression
Implemented bias-variance trade-off and linear regression in Jupyter notebook
Amogha027/Linux-Shell
A user-defined Unix-based interactive shell program in C which supports all the shell commands
Amogha027/PCA-and-Clustering
Implemented the Principal Component Analysis (PCA) & performed dimensionality reduction. Implemented Hierarchical clustering EM algorithm for GMM and performed the clustering operations.
Amogha027/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.
Amogha027/RNN-LSTM
Implementation of RNN (Recurrent Neural Network) for Auto Regressive Models and learning the long term dependencies using LSTM (Long short-term Memory).
Amogha027/Safety-Device-for-Fall-Detection
A safety device which detects the fall of industrial worker from chimneys
Amogha027/Smart-Home-Security-Device
A smart IoT device which detects human movement in its environment
Amogha027/Starter-c0de
Amogha027/Supervised-ML-Algorithms
Implemented separate classes for the supervised machine learning algorithms, k Nearest Neighbours algorithm and Decision Tree algorithm.
Amogha027/Transformers
Pytorch implementation of Transformers model from scratch. Also, implemented Denoising Autoencoder to remove noise from an MNIST image.
Amogha027/VReqST
Amogha027/VReqST-2
Amogha027/vreqst-deploy
Amogha027/vreqst-gh-pages