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Add additional resources for scientific computing #92

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Description

This pull request adds several resources to the Awesome Scientific Computing repository, focusing on:

  • Basic Linear Algebra: Added Armadillo for its MATLAB-like syntax.
  • Multi-purpose Toolkits: Included TensorFlow, PyTorch, and Dask for their relevance in scientific computing.
  • Data Formats: Added Parquet and Feather for efficient data handling.
  • Sparse Linear Solvers: Included Cholmod for sparse factorization.
  • Visualization: Added Matplotlib and Seaborn for data visualization.
  • Other Libraries and Tools: Included OpenCV and Dlib for computer vision and machine learning applications.

These additions will enhance the resources available for researchers and practitioners in scientific computing.

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Ramy-Badr-Ahmed commented Sep 3, 2024 •
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@nschloe
Looking forward to your review 🙂

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