Pradeep Balaji Muthukumar (Pradeep23-01)

Pradeep23-01

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Location:Raleigh

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Pradeep Balaji Muthukumar's repositories

DL-CSS

Deep Learning (DL) for Cooperative Spectrum Sensing (CSS) - Research Paper

Optimization-Algorithms

A repository of optimization algorithms implemented in Python & MATLAB for mathematical optimization problems. Algorithms such as Genetic Algorithm, PSO, linear programming, and etc.

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ViSpEr

Real-Time Visual Speech and Emotion Recognition (ViSpEr) an end-to-end neural network for the low-resource visual speech and facial emotion recognition task, using 3D CNNs and LSTMs

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BERT-QA-SQuAD

This work concentrates on comparing & improving BERT based QA models using less Computation and GPU

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Dog-Breed-Classifier-IncV3

120 Dog Breeds are classified using Transfer Learning from InceptionV3 with ImageNet weights.

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expertiza

Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.

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facial-affect-analysis-CNNs

Tackling facial emotion recognition (FER) tasks using DCNNs, VGG16 and Inception-V3 models

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Fake-News-Awareness-NLP

MultinomialNB, CountVectorizer, PorterStemmer, and nltk are used in combination to build a system for identifying unreliable news articles

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Flask-Resnet50-Image-Recognition

This repository provides implementations for deploying machine learning models using Flask and Streamlit on a server, such as Heroku.

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Handling-Missing-Data

The missing data in datasets could be removed or replaced by certain techniques like correlation, regression, mean and median

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Interactive_stock_analyser

Web application designed to help users view their existing stocks and get future forecasts using machine learning algorithms

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Multi-modal-clickbait-classifier

A multimodal deep learning approach that anticipates the clickbait nature through the text and images uploaded on social media. Text Classifiers + Word Embedding || Image Classifier (VGG Network)

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Wearable-Device-for-ASD-Population

IoT module for collection and analysis of physiological signals along with use of Machine Learning for the task of detecting emotions in ASD populations

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FAO-Crop-Analysis-ML

Analyzed FAO Crop data using Machine learning models

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FineTune-CNN

Automatic Hyperparameter Tuning for CNN Image Classification with Keras Tuner

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Kaggle-Competition-Solutions

Repository consists of my solutions from my Kaggle competitions

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ML-Algorithms-collection

This GitHub repository contains machine learning models that can be used for practice implementation on a dataset that is publicly accessible.

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Poster2Genre-CNN

Deep Learning Implementations for Predicting Movie Genres using Poster Images.

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Signal-Processing-and-Image-Compression

This repository contains implementations of algorithms for signal denoising, decision boundary detection, and image compression, along with techniques for evaluating their performance.

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XRay-Net

ChestX-ray14-v3 dataset underwent several preprocessing(filtering) techniques, in addition to the fine-tuning of pre-trained models in Imagenet, to classify X-rays of Normal, Pneumonia, and Covid19.

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