Add additional resources for scientific computing

[Ramy-Badr-Ahmed]

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.