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  • Oldenburg, Germany

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artem-oppermann/README.md

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  1. Deep-Autoencoders-For-Collaborative-Filtering Deep-Autoencoders-For-Collaborative-Filtering Public

    Using Deep Autoencoders for predictions of movie ratings.

    Python 112 39

  2. Sentiment-Analysis-of-Netflix-Reviews Sentiment-Analysis-of-Netflix-Reviews Public

    Sentiment Analysis LSTM recurrent neural network's.

    Python 52 32

  3. Restricted-Boltzmann-Machine Restricted-Boltzmann-Machine Public

    Restricted Boltzmann Machine for collaborative filtering of movies.

    Python 41 22

  4. Deep-Reinforcement-Learning Deep-Reinforcement-Learning Public

    A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.

    Python 36 13

  5. Anomaly-Detection-in-TensorFlow-2.0 Anomaly-Detection-in-TensorFlow-2.0 Public

    An Autoencoder for detection of anomalies implemented in TensorFlow 2.0

    5 5

  6. SSD-Single-Shot-MultiBox-Detector SSD-Single-Shot-MultiBox-Detector Public

    Object detection and classification with Single-Shot-Multibox-Detector

    Python 1 1