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Intro

I know my way around deep learning 🧠.

My GitHub Repositories

Category Repositories
ML Privacy and Security * ambitious explorations over privacy attacks * expolorations over privacy attacks * poisoned output detection * attack on a encrypted model in real space * entropy motivated defenses of MIA * information leakage and inference from cache traces * machine unlearning * fault in honey encryption * simple adversarial attack * simple poisoning attack * literature review progress on secure inference * collection of repo links related to ML-privacy
Radar and ECG Signal processing * radar vital signs project * p5 based simulations of radar * comparison of measurement performance between ECG and several Radar based algorithms * ECG based HR detection methods * ECG based BR detection methods * ECG measurement system * comparison of performance of ECG HR methods * comparison of performance of ECG BR methods * Matlab integration with Sense2Gol radar
Computer Vision
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* SIREN Experiments * PeopleNet Detection and Tracking * simple NeRF * MRI brain tumor classification and segmentation * experiementation of image processing on MRI slices over U-Net performance * brain MRI images condensation * graph based MRI scan segmentation * Xception interpretability * occlusion prevention in YOLOv5 model * opencv based violonist assistant * spectogram based music genre classification * detectron2 based object detection * my image processing course work * edge smoothing * spectrogram based urban sound classification * Autoencoder denoising
Natural Language Processing
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* text summarization * textual toxicity ranking * sentiment classification via BERT * plagarism remover * BERT based grammatical correction classification * sentence Modelling using Matrix Factorization and RNN * finding candidate journal from large bibtex file
Chemical Sequence Analysis * protein-protein interaction Classification * SMILE string classification
Brain Connectivity Analysis * SSA implementations * EEG visualization * GAN based Structural Connecitivty data variations
Accelerometer and ML * sparsity based accelerometer spectrogram classification * simple compressed sensing * spectrogram based human activity recognition * gym Trainee accelerometer dataset under different workouts * measuring training capacity of gym trainees using alexnet and spectrograms * estimating moods of gym trainees and counting reps using accelerometer spectrograms
COVID-19 and ML * compartment model identification using SINDy * Attention based SIQRD parameter estimation and Data driven policy determination for control of infection spread * Image processing, Mathematical modelling and NLP based gathering insights from COVID-19 literature * collect daily COVID-19 statistics in Korea using API * COVID-19 symptom severity classification * Simulations of hypothetical SEQIHRD model * Simulations of hypothetical SVEQIHRD model
Interferometry and ML * self-mixing interferometry displacement parameter estimation
Miscallaneous ML * music genre classification using CNN-LSTM * Comparison of simple and Q-learning based link prediction in graphs * deep learning estimation of amplitude and frequency of target from self-interferometric signal * Actor-critic based stocks trader * Probabalistic neural network using KNIME * sales forecasting using deepXF * forecasting via extreme learning * breast cancer classification using random forecast * MATLAB breast cancer classification * drug prescriber deployment on Azure * Autoencoder LSTM based power consumption forecasting * LSTM based bitcoin price forecasting
App and Web Developement * contact tracing flutter app-version 1 * contact tracing flutter app-version 2 * contact tracing flutter app-version final * basic HTML-CSS page workout * Android Kotlin project for visualization COVID-19 statistics via API * Android Java project to access and display sensor values * nodjs based twitter follower hiearchy * flutter based directed graph construction of a person contact with different places * time-otp based flutter project * streamlit based login/signup page * nodejs based anonymization of csv containing GPS data * flutter project to store texts in local storage while in background on Android * nodejs api for converting coordinates to distance * nodejs and mongdb based login/signup api that can send emails to db contacts * flutter app that collects gps data and stores it in hivdb, and it can upload the db data as csv file to a rest api * android project for login/signup page * flutter project that can perform all login/signup tasks and also has qr scan functionality * nodejs based csv manipulation * referece html frontends * nodejs and html absed web app with GUI for login, register and can send emails (for OTP verification) * flutter project that can generate and store data in csv, in background, and can also produce notifications * flutter app that stores data in hive db * flutter project for storing data in hivedb in anonymized manner(encrypted) * flutter becaon transmitter and reciever * flutter transmit beacon in background * flutter based rolling BT beacon ID transmission * flutter project for working with CSV *flutter project that transmits and recieves BT UUID and stores them in CSV

Spider Man's Projects

Spider Man doesn’t have any public repositories yet.

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