Pinned Repositories
Y3P
Yelp Restaurant Rating Prediction
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)
cis557-project-photo-sharing-social-network-app
CV-ImageBlending
Implementation of Gradient Based Image Blending from Scratch in Python
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!
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.
Movie-Recommender-using-Multi-Armed-Bandits
Data Mining Mini Project to optimize movies recommendation by solving Multi Armed Bandits Problem
Semantic-Scene-Composition-For-Amodal-Segmentation
tejas0809's Repositories
tejas0809/CV-ImageBlending
Implementation of Gradient Based Image Blending from Scratch in Python
tejas0809/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.
tejas0809/Movie-Recommender-using-Multi-Armed-Bandits
Data Mining Mini Project to optimize movies recommendation by solving Multi Armed Bandits Problem
tejas0809/Academia-hugo
tejas0809/al-go-rithms
:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/
tejas0809/BE_Project_Report
Project Report for our Final Year Project- CODA (Comprehensive Developer Assistant)
tejas0809/cis557-project-photo-sharing-social-network-app
tejas0809/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!
tejas0809/Semantic-Scene-Composition-For-Amodal-Segmentation
tejas0809/CaltechUCSDBird200_ImageClassification
Deep Learning, Computer Vision Mini Project
tejas0809/CIS522-course-content
Deep Learning for Data Science Spring 2021
tejas0809/Clustering-IMDb-Title-Dataset
Clustering using Online K-means and K-means++ for IMDb dataset
tejas0809/Coursera-Algorithmic-Toolbox
Implementation of programming Assignments of the Coursera Course Algorithmic Toolbox under the Data Structures and Algorithms Specialization
tejas0809/CV-CannyEdgeDetection
Implementation of Canny Edge Detection from Scratch in Python
tejas0809/CV-Image-Morphing
Implementation of Morphing of two images from scratch in Python
tejas0809/CV-Image-Stitching
Implementation of python application for combining multiple photographic images with overlapping fields of view to produce a panorama.
tejas0809/CV-Seam-Carving
Implementation of Minimum Energy Seam Carving to resize images
tejas0809/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.
tejas0809/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
tejas0809/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.
tejas0809/guess-the-celebrity
WebApp implementing Guess the Celebrity using Vanilla HTML, CSS and JS
tejas0809/i_hack_ninja
tejas0809/ICS-ECC-
Client Server Application for encryption using Elliptic Curve Cryptography
tejas0809/Make-a-Pull-Request
Make a Pull Request
tejas0809/ML-Assignments-SPPU
Implementation of some simple ML models completed during undergrad for the course Machine Learning
tejas0809/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.
tejas0809/python-is-cool
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
tejas0809/S-DES-Implementation
Python Implementation of SDES for Information and Cyber Security Course
tejas0809/tejas0809.github.io
tejas0809/v4
Fourth iteration of my personal website