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taslanidis/README.md

Hi, I'm Theo πŸ‘‹

Data Scientist with experience on the implementation of large-scale algorithms in Python and C++, as well as ML and DL models for:

  • πŸ’¬ NLP
  • πŸ”Š Audio
  • 🚒🌏 ESG

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  1. Music-Recommender Music-Recommender Public

    Music recommendation system for providing a group of people with fresh music that fits all.

    Python 2

  2. Clustering Clustering Public

    K-Means and K-Medoids for vectors and curves with C++. Comparing different initialization, assignment and update methods.

    C++ 1

  3. Nearest-Neighbors Nearest-Neighbors Public

    ANN - Approximate Nearest Neighbors Index with Locality Sensitive Hashing and Hyper Cube projections for vectors and multi-dimensional data.

    C++ 1 1

  4. Audio-Chord-Recognition Audio-Chord-Recognition Public

    Deep Learning for audio chord recognition. Use of CNNs for feature extraction in audio data, combined with LSTMs for contextual information over time. (CRNN)

    Jupyter Notebook 2

  5. Heat2D Heat2D Public

    Parallelization of heat conduction simulation in 2D. Scaling from 0 to 160 cores and different topologies. Implementation in C with the MPI library.

    C 1

  6. News-Recommender-Recsys24 News-Recommender-Recsys24 Public

    Sequential Recommendation system for news articles using Transformer Architectures

    Python