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9 repositories
- PyTorch implementation of Sentiment Analysis of the long texts written in Serbian language (which is underused language) using pretrained Multilingual RoBERTa based model (XLM-R) on the small dataset.
- This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.
- Sentiment Analysis of tweets written in underused Slavic languages (Serbian, Bosnian and Croatian) using pretrained multilingual RoBERTa based model XLM-R on 2 different datasets.
- Classification of emotions using deep CNN on 2 different datasets. Works in real time through desktop camera
- Keras implementation of Variation Autoencoder for face generation. Analysis of the distribution of the latent space of the VAE. Vector arithemtic in the latent space. Morphing between the faces. The model was trained on CelebA dataset
- Keras implementation of WGAN GP for face generation. The model is trained on CelebA dataset.
- Forecasting air pollution from given weather data. Two models were implemented: Regression Trees and LSTM model.
- Detection of language of a written text using bigram letter model.
- Classification of abnormal moving of a drone using logistic regression