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/Chatbot
tejas0809/Competitive-Coding-Tricks
tejas0809/MRBA
tejas0809/PICT-Survival-Guide
Assignments, Codes, things you need
tejas0809/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.
tejas0809/SDL-
tejas0809/SdlProject
tejas0809/sx-frontend