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@Data-Science-kosta

Data-Science-kosta

This organization contains everything from machine learning and neural networks to statistics and probabilities

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  1. Speech-Emotion-Classification-with-PyTorch Speech-Emotion-Classification-with-PyTorch Public

    This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.

    Jupyter Notebook 179 35

  2. Long-texts-Sentiment-Analysis-RoBERTa Long-texts-Sentiment-Analysis-RoBERTa Public

    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.

    Jupyter Notebook 24 7

  3. Twitter-Sentiment-Analysis-RoBERTa Twitter-Sentiment-Analysis-RoBERTa Public

    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.

    Jupyter Notebook 20 1

  4. Variational-Autoencoder-for-Face-Generation Variational-Autoencoder-for-Face-Generation Public

    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. Th…

    Jupyter Notebook 13 1

  5. WGAN-GP-for-Face-Generation WGAN-GP-for-Face-Generation Public

    Keras implementation of WGAN GP for face generation. The model is trained on CelebA dataset.

    Jupyter Notebook 9

  6. Forecasting-air-pollution-LSTM-model-and-Regression-trees-model Forecasting-air-pollution-LSTM-model-and-Regression-trees-model Public

    Forecasting air pollution from given weather data. Two models were implemented: Regression Trees and LSTM model.

    Jupyter Notebook 5

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