Welcome to the Knowledge Repository, an open-source hub dedicated to compiling resources, documentation, and links on a wide array of technical domains. This repository is designed to serve as a knowledge base for developers, researchers, and enthusiasts across the following fields:
- Machine Learning
- AR/VR (Augmented and Virtual Reality)
- IoT (Internet of Things)
- Big Data Analytics
- Hardware
- Middleware
- Operating Systems
- Cryptography
- Programming Languages
- Assembly
- RISC-V
- Compilers/Assemblers
Each domain has its own dedicated directory, containing categorized resources and materials. We encourage exploration, contribution, and sharing of knowledge to expand this repository.
- Machine Learning Resources
- AR/VR Resources
- IoT Resources
- Big Data Analytics Resources
- Hardware Resources
- Middleware Resources
- Operating Systems Resources
- Cryptography Resources
- Programming Languages Resources
- Assembly Resources
- RISC-V Resources
- Compilers and Assemblers Resources
The repository covers the following major areas, each linked to its respective section:
Resources on algorithms, frameworks, and tools for machine learning.
Insights into augmented reality and virtual reality technologies.
Comprehensive coverage on IoT devices, protocols, and architectures.
Resources on data processing, analytics tools, and large-scale data systems.
5. Hardware
Information on hardware design, embedded systems, and more.
6. Middleware
Knowledge on middleware technologies, platforms, and integration.
Documentation and resources on various operating systems, their kernels, and architectures.
8. Cryptography
A collection of resources on encryption, security protocols, and cryptographic methods.
Guides, documentation, and tools for various programming languages.
10. Assembly
Resources on assembly language programming, tools, and tutorials.
11. RISC-V
Detailed resources on RISC-V architecture, tools, and implementations.
Information on compilers, assemblers, and related development tools.
We highly encourage contributions from the community to help grow and maintain this repository. If you have links, documentation, or other resources that you believe would be valuable, feel free to contribute!
- Fork the repository.
- Clone your fork locally.
- Create a new branch for your contribution.
- Add your resources to the appropriate directory. Ensure to follow the existing file structure and conventions.
- Commit your changes and push your branch.
- Open a Pull Request with a clear description of what you've contributed.
Please ensure all contributions are relevant and of high quality. Review the existing documentation and structure before submitting.
This repository is licensed under the Apache License 2.0. You can view the full license here.
We welcome any feedback to improve this knowledge base. Feel free to raise an issue or contact the maintainers if you have suggestions for improvements.
Happy Learning! 🎓
The repository is structured as follows:
/
├── README.md
├── machine_learning/
│ ├── README.md
│ └── docs/
├── ar_vr/
│ ├── README.md
│ └── docs/
├── iot/
│ ├── README.md
│ └── docs/
├── big_data_analytics/
│ ├── README.md
│ └── docs/
├── hardware/
│ ├── README.md
│ └── docs/
├── middleware/
│ ├── README.md
│ └── docs/
├── operating_systems/
│ ├── README.md
│ └── docs/
├── cryptography/
│ ├── README.md
│ └── docs/
├── programming_languages/
│ ├── README.md
│ └── docs/
├── assembly/
│ ├── README.md
│ └── docs/
├── risc_v/
│ ├── README.md
│ └── docs/
└── compilers_assemblers/
├── README.md
└── docs/