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SPS Curriculum

Repository hosting a series of educational workshops at the University of Florida (since 2024) covering topics relevant to Signal Processing & Machine Learning Systems.

Topics Workshop Series Contributors
Introduction to Mathematics Real Number Systems Raul
Basic Topology Raul
Numerical Sequences and Series Raul
Measure Theory Raul
Random Variables Raul
Independence Raul
Introduction to Functional Programming Introduction to Python Raul
Introduction to C Raul
Introduction to Matlab Raul
Introduction to Host Programming Introduction to Databases Raul
Introduction to Operating Systems Raul
Introduction to GPU Systems Introduction to Numba & CuPy Raul
Introduction to PyTorch Awwab
Introduction to RAPIDS Raul
Introduction to FPGA Systems Introduction to FPGA Raul
Introduction to Digital Signal Processing Introduction to Signal Processing Theory Raul
Introduction to Filter Design Raul
Introduction to Time Series Introduction to Adaptive Filtering (APA) Raul
Introduction to Adaptive Filtering (Kalman) Raul
Introduction to Recurrent Neural Networks Raul
Introduction to Machine Learning Introduction to Artifical Neural Networks Raul
Introduction to Convolutional Neural Networks Raul
Scaling Neural Networks Raul
Introduction to Transformers Awwab

How to Contribute

We encourage community contributions:

  1. Fork the repo.
  2. Create your feature branch.
  3. Commit your changes.
  4. Push to your branch.
  5. Submit a PR.

Acknowledgements

Special thanks to the community for making this possible.

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Repository hosting a series of educational workshops at the University of Florida since 2024 covering topics relevant to Signal Processing

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