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academia-hugo

al-go-rithms

:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/

be_project_report

Project Report for our Final Year Project- CODA (Comprehensive Developer Assistant)

caltechucsdbird200_imageclassification

Deep Learning, Computer Vision Mini Project

chatbot

cis522-course-content

Deep Learning for Data Science Spring 2021

cis557-project-photo-sharing-social-network-app

clustering-imdb-title-dataset

Clustering using Online K-means and K-means++ for IMDb dataset

competitive-coding-tricks

coursera-algorithmic-toolbox

Implementation of programming Assignments of the Coursera Course Algorithmic Toolbox under the Data Structures and Algorithms Specialization

cv-cannyedgedetection

Implementation of Canny Edge Detection from Scratch in Python

cv-image-morphing

Implementation of Morphing of two images from scratch in Python

cv-image-stitching

Implementation of python application for combining multiple photographic images with overlapping fields of view to produce a panorama.

cv-imageblending

Implementation of Gradient Based Image Blending from Scratch in Python

cv-seam-carving

Implementation of Minimum Energy Seam Carving to resize images

deeplearningnlp

In this we worked with the Amazon Reviews Dataset. This dataset contains hundreds of thousands of reviews, each with it's raw text, it's summary and a score from 1-5 on the rating corresponding to the review. We created a multitude of discriminative models to classify the rating from the text of the review, from simple non-deep learning baseline approaches to creating multiple different deep recurrent neural networks, using attention and transfer learning to boost classification accuracy. Past that, we created a generative model to generate summaries of a given review from scratch!

effciently-finding-similar-reviews-in-amazon-reviews-dataset-using-hashing-techniques

The objective of the project was to reduced time Complexity of finding similar pairs of reviews and finding all the similar reviews given a query text efficiently using hashing techniques such as min hashing and local sensitive hashing on a dataset of about 160,000 user reviews from Amazon.

fashionmnist_svm_pegasos_adagrad_cnn

Performed binary and multiclass classification on Fashion MNIST dataset using optimization techniques for SVM like Pegasos, Adagrad from scratch and a CNN based model using PyTorch.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

generativedeeplearningmodelsforimagereconstruction

Implemented various generative deep learning models such as Convolutional AutoEncoder, Convolutional Variational AutoEncoder to reconstruct images, and GAN & a LS-GAN to construct new instances of images from images of shoes in the UT Zappos 50k dataset.

guess-the-celebrity

WebApp implementing Guess the Celebrity using Vanilla HTML, CSS and JS

i_hack_ninja

ics-ecc-

Client Server Application for encryption using Elliptic Curve Cryptography

make-a-pull-request

Make a Pull Request

ml-assignments-sppu

Implementation of some simple ML models completed during undergrad for the course Machine Learning

movie-recommender-using-multi-armed-bandits

Data Mining Mini Project to optimize movies recommendation by solving Multi Armed Bandits Problem

mrba

performance-evaluation-semantic-scene-composition-for-amodal-instance-segmentation

Performance Evaluation for generated Dataset from our model for Deep Learning Project "Semantic Scene Composition for Amodal Instance Segmentation" using a masked RCNN in PyTorch and calculation of IoU, mAR, mAP.

pict-survival-guide

Assignments, Codes, things you need

plantdiseases

A convolutional neural network was designed which can classify the disease a particular crop is infected with given the image of plant.OpenCV framework and Keras library was used to implement the model. The image is first acquired and preprocessed to highlight the infected part and then sent through the network.