A comprehensive collection of installation guides, tutorials, and tools for cloud computing, deep learning frameworks, and development environment setup.
- Overview
- Repository Structure
- Quick Start
- Detailed Folder Guide
- Supported Platforms
- Contributing
- License
This repository provides a complete toolkit for setting up cloud computing environments, deep learning frameworks, and development tools. Whether you're a beginner or an experienced developer, you'll find comprehensive guides for various Linux distributions and cloud platforms.
Cloud-Computing/
├── 🤖 Deep-Learning-Kit-Installation/ # Deep learning frameworks installation
├── ❓ FAQ/ # Frequently asked questions & solutions
├── 📁 File_transfer/ # Cloud file transfer tutorials
├── 🔧 Git_Tutorial/ # Git version control guides
├── 📖 Linux-Cheat-Sheet/ # Linux command references
├── 🌐 Netwrok_Drive/ # Network drive configuration
├── 🐍 Python_Editor/ # Python IDE setup & configuration
├── 🔐 SSH_Key/ # SSH key generation & management
└── 💻 Standalone-Linux-Installation/ # Standalone installation guides
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Clone the repository:
git clone https://github.com/yourusername/Cloud-Computing.git cd Cloud-Computing -
Choose your installation method:
- For automated installation: Navigate to
Deep-Learning-Kit-Installation/Shell-Script-Installation/ - For manual installation: Check
Deep-Learning-Kit-Installation/Ubuntu-XX.XX/ - For standalone setup: Explore
Standalone-Linux-Installation/
- For automated installation: Navigate to
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Follow the specific README in each folder for detailed instructions.
Purpose: Complete installation guides for popular deep learning frameworks including PyTorch, TensorFlow, Keras, and more.
Contents:
- Shell-Script-Installation/: Automated installation scripts for multiple OS versions
- Ubuntu 16.04, 18.04, 20.04, 22.04, 24.04
- Debian 9
- Ubuntu-16.04/: Manual installation guides with GPU support
- Remote-Desktop-16.04/: Remote desktop setup for Ubuntu 16.04
Best for: Setting up complete deep learning environments with CUDA, cuDNN, and popular frameworks.
Purpose: Solutions to frequently encountered issues and common questions.
Contents:
- AWS source list configurations
- Google Cloud Platform (GCP) setup files
- Troubleshooting guides
Best for: Quick problem resolution and cloud platform configuration.
Purpose: Comprehensive tutorials for transferring files between local machines and cloud platforms.
Contents:
- AWS file transfer methods
- Google Cloud Platform file operations
- Best practices for large file transfers
Best for: Learning efficient cloud file management techniques.
Purpose: Version control tutorials and Git workflow guides.
Contents:
- Basic Git operations and commands
- Git evaluation and best practices
- Collaborative development workflows
Best for: Mastering Git version control for development projects.
Purpose: Quick reference guides for Linux commands and operations.
Contents:
- Essential Linux commands
- System administration shortcuts
- Performance monitoring tools
Best for: Quick Linux command lookup and system administration.
Purpose: Network drive setup and configuration guides.
Contents:
- Network storage mounting
- Drive sharing configurations
- Access permission management
Best for: Setting up shared storage solutions in cloud environments.
Purpose: Python development environment setup and configuration.
Contents:
- Pycharm/: PyCharm IDE configuration and optimization
- Add_Code_Template/: Custom code templates and snippets
- Debugging setup and best practices
Best for: Optimizing Python development workflow and IDE configuration.
Purpose: SSH key generation, management, and security best practices.
Contents:
- Public/private key pair generation
- SSH configuration for cloud platforms
- Security hardening guidelines
Best for: Secure remote access setup and key management.
Purpose: Complete standalone installation guides for various Ubuntu versions.
Contents:
- Ubuntu 14.04/: Legacy Ubuntu installation guides
- Ubuntu 18.04/: LTS version setup
- Ubuntu 22.04/: Current LTS installation
- Ubuntu 24.04/: Latest version guides
- Framework getting-started tutorials
Best for: Fresh Linux installations and framework setup from scratch.
| Platform | Versions | Status |
|---|---|---|
| Ubuntu | 16.04, 18.04, 20.04, 22.04, 24.04 | ✅ Fully Supported |
| Debian | 9 | ✅ Supported |
| Cloud Platforms | AWS, GCP | ✅ Supported |
We welcome contributions! Please feel free to submit issues, feature requests, or pull requests to help improve this repository.
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
⭐ Star this repository if you find it helpful! ⭐
For questions or support, please check the FAQ section or open an issue.