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Pradosh Priyadarshan's Projects

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

automatic-music-generation-system icon automatic-music-generation-system

-Generating Irish Folk Tunes and Lyrics - using LSTM, this project uses Long Short-term Memory (LSTM) -based recurrent neural network (RNN) to generate music and lyrics using the Irish Folk Music dataset. Additionally, it also generates "Bob Dylan-esque" lyrics, using all of Bob Dylan's songs. -Technologies used- AWS, Deep Learning, Python.

covid-19-detection-from-chest-xray icon covid-19-detection-from-chest-xray

A web app to predict whether a person has COVID-19 from their Chest X-Ray (CXR) scan by image classification using Transfer Learning with the pre-trained models VGG-16 and DenseNet201 with ImageNet weights.

covid-detection icon covid-detection

WWCode Hackathon Covid Detection and antibiotic prevention resistance app

ecg-classification icon ecg-classification

Using LSTMs to classify ECG signals in several different heart diseases. Data from the PTB diagnostic database.

human-activity-recognition-problem icon human-activity-recognition-problem

Applying RNN with multiple LSTM layers on a dataset which contains data collected by accelerometer and gyroscope sensors of mobile phone in order to classify the human activity into six different classes . Six different classes are - walking , sitting , standing , laying , walking upstairs and walking downstairs .

innobuzz icon innobuzz

fish freshness quality and freshness detection

microsoft-malware-detection icon microsoft-malware-detection

Created a Malware detection which finishes in a few seconds or a minute and does not take hours and block the user's computer

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

netflix-movie-recommendation-system icon netflix-movie-recommendation-system

Predict the rating that a user would give to a movie that he has not yet rated. Minimize the difference between predicted and actual rating (RMSE and MAPE)

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