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Riccardo-Rota/README.md

Hi there! ๐Ÿ‘‹ I'm Riccardo

I'm a student in the Double Degree program between EPFL and Politecnico di Milano. Right now, I'm based in Lausanne ๐Ÿ“, working on my Master's thesis as a Computer Vision Intern at Logitech.ย 

  • ๐Ÿง  My current interests: Machine Learning, Deep Learning, Audio Processing, and Computer Vision.

  • ๐Ÿ’ป Machine/Deep Learning: My most recent projects explore applications of Machine Learning across different fields, using frameworks like PyTorch, TensorFlow, and JAX.

  • ๐Ÿ“ Applications to PDEs: One of the areas I explored the most during my studies in Italy! Here you can find projects covering both Machine Learning applications for PDEs and C++ solvers targeting High Performance.

  • ๐ŸŽง Audio ML Processing and Computer Vision: These are my main focus areas at Logitech. While the code is private, you can check out some of this work in our recent Interspeech submission: Differentiable Time-Varying IIR Filtering for Real-Time Speech Denoising.

  • โš™๏ธ Languages: My current work is primarily in Python, but I also have solid experience with C and C++, especially for HPC.

Feel free to explore my repositories or reach out via email ๐Ÿ“ซ!

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  1. JAX_Hypernetworks JAX_Hypernetworks Public

    Flexible libraries for handling hypernetworks in JAX - Work in Progress

    Python

  2. CS-433/Protein-Time-Series-Prediction CS-433/Protein-Time-Series-Prediction Public

    ml-project-2-teamrelu created by GitHub Classroom

    Jupyter Notebook

  3. MPI-OpenMP-Laplace-Equation MPI-OpenMP-Laplace-Equation Public

    Solver for Laplace Problem in C++ with MPI and OpenMP

    C++

  4. Variational-Autoencoders Variational-Autoencoders Public

    Variational Autoencoders to solve PDE Diffusion Invers Problem

    Jupyter Notebook

  5. HPC_SparseMatrix HPC_SparseMatrix Public

    Dynamic and Compressed Matrix Library in C++

    C++

  6. SDE-Parameter-Inference SDE-Parameter-Inference Public

    Parameter inference for Stochastic Differential Equations (SDEs), focusing on the Ornstein-Uhlenbeck process.

    MATLAB