Pinned Repositories
aaronstone1699.github.io
bottle-detector-ui
breathing_detection
CAR-DETECTION
car detection using the UIUC car database
CNN-SVM_brain_tumor
Depression-detection
Depression is one of the most common mental disorders with millions of people suffering from it.It has been found to have an impact on the texts written by the affected masses.In this study our main aim was to utilise tweets to predict the possibility of a user at-risk of depression through the use of Natural Language Processing(NLP) tools and deep learning algorithms.LSTM has been used as a baseline model that resulted in an accuracy of 95.12% and an F1 score of 0.9436. We implemented a hybrid Bi-LSTM + CNN model which we trained on learned embeddings from the tweet dataset was able to improve upon previous works and produce precision and recall of 0.9943 and 0.9988 respectively,giving an F1 score of 0.9971.
parkinson-s-diagnosis
proposed early detection method for parkinson's disease using deep learning on MRI dataset
red-lesion-classifier
Self_Driving
The objective of intelligent driving cars is to create a fully functional automated car that is able to reduce human effort and better traffic flow. intelligent-driving cars were created to provide benefits to the society we live in, such as providing transportation for those people who are not able to drive because of age or physical impairment or automating the work in dangerous workplaces.
wav-to-sheetMusic
The provided code is an audio processing application implemented using the Tkinter library in Python. It allows the user to select a WAV file, clean the audio, convert it to MIDI format, and display the corresponding sheet music.
aaronstone1699's Repositories
aaronstone1699/Depression-detection
Depression is one of the most common mental disorders with millions of people suffering from it.It has been found to have an impact on the texts written by the affected masses.In this study our main aim was to utilise tweets to predict the possibility of a user at-risk of depression through the use of Natural Language Processing(NLP) tools and deep learning algorithms.LSTM has been used as a baseline model that resulted in an accuracy of 95.12% and an F1 score of 0.9436. We implemented a hybrid Bi-LSTM + CNN model which we trained on learned embeddings from the tweet dataset was able to improve upon previous works and produce precision and recall of 0.9943 and 0.9988 respectively,giving an F1 score of 0.9971.
aaronstone1699/parkinson-s-diagnosis
proposed early detection method for parkinson's disease using deep learning on MRI dataset
aaronstone1699/wav-to-sheetMusic
The provided code is an audio processing application implemented using the Tkinter library in Python. It allows the user to select a WAV file, clean the audio, convert it to MIDI format, and display the corresponding sheet music.
aaronstone1699/red-lesion-classifier
aaronstone1699/Self_Driving
The objective of intelligent driving cars is to create a fully functional automated car that is able to reduce human effort and better traffic flow. intelligent-driving cars were created to provide benefits to the society we live in, such as providing transportation for those people who are not able to drive because of age or physical impairment or automating the work in dangerous workplaces.
aaronstone1699/aaronstone1699.github.io
aaronstone1699/bottle-detector-ui
aaronstone1699/breathing_detection
aaronstone1699/CAR-DETECTION
car detection using the UIUC car database
aaronstone1699/CNN-SVM_brain_tumor
aaronstone1699/Laptop-tagging
creates text tags for laptop images to be used in e-commerce sites or any other area
aaronstone1699/GemmaCHT
aaronstone1699/moonstone
aaronstone1699/pix2pix-Next-Frame-Prediction
pix2pix-Next-Frame-Prediction generates video by recursively generating images with pix2pix.
aaronstone1699/Reseg
3D human parsing via multi-camera 2D analysis and 2D-to-3D reprojection
aaronstone1699/RishikMishra
aaronstone1699/simple-dataset-creation-for-cnn-
aaronstone1699/Training_Project