Neuroscribe = نيوروسكرايب
Neuroscribe is a cutting-edge deep learning framework designed to address the complexities and inefficiencies encountered in existing frameworks like PyTorch and TensorFlow. Aimed at streamlining model development and enhancing performance across diverse hardware environments, NeuroScribe offers a lightweight and flexible solution. The framework features a robust tensor library, an auto-differentiation engine, a comprehensive neural network module, and advanced optimization algorithms. With built-in visualization tools and a user-friendly interface, NeuroScribe simplifies both beginner and advanced workflows. Its cross-platform compatibility, supported by CUDA and Metal Performance Shaders (MPS), ensures optimal performance, and in some scenarios, NeuroScribe demonstrates superior speed compared to leading frameworks. Additionally, NeuroScribe introduces unique libraries and features not found in other frameworks, further enhancing its versatility and appeal. The modular architecture and automatic system detection further enhance its adaptability, making NeuroScribe a versatile and powerful tool for deep learning practitioners.
Car deal : The ultimate used-cars marketplace
This is an effort to represents the design and implementation of a mobile application that serves as a marketplace for buying and selling used cars. The application is developed using Flutter, a popular cross-platform framework, and integrates an Artificial Intelligence (AI) model to predict the price of used cars based on various parameters, such as the car's model, age, mileage, and condition. The report provides a comprehensive overview of the project's development process, including the use of agile methodology and various technologies, such as Firebase, Python, and TensorFlow. The AI model's accuracy is evaluated using statistical metrics, such as Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE).
Beginning REALbasic : From novice to professional
REALbasic is an easy-to-learn, powerful, cross-platform programming language, allowing you to write powerful applications that can be distributed across Windows, Mac, and Linux. REALbasic’s success is proven - there are already over 100,000 users, and this number is steadily growing. In a recent promotional effort, 35,000 Visual Basic developers downloaded a free copy of the Windows version of REALbasic, and REAL software has had many requests for decent beginning title on the subject. As far as we know, this is the only up-to-date book planned for the current version, REALbasic 2005, which matches that description. REAL software are enthusiastic about helping us sell the book.
Beginning PyQt : A hands-on approach to GUI programming with PyQt6
Learn GUI application development from the ground up by building simple projects that teach the fundamentals of using PyQt6. This 2nd edition includes updated code, programs, and new chapters to get you started using the newest version. Taking a practical approach, each chapter will gradually teach more advanced and diverse concepts to aid you in designing and customizing interesting and professional applications. Using this knowledge, you’ll be able to build a photo editor, games, a text editor, a working web browser, and an assortment of other GUIs. In the end, this book will guide you through the process of creating UIs to help you bring your own ideas to life. Find out what you need to begin making your own applications with PyQt! You will: Develop cross-platform UIs with PyQt and Python / Use PyQt’s many widgets and apply them by building real applications / Build larger applications through a step-by-step approach and break the code into smaller chunks for deeper understanding / Work with more complex applications in PyQt, covering SQL databases, multithreading, web browsers, and more / Create modern-looking UIs with Qt Quick and QtQml using the latest version of PyQt
A vision-based system to early detection of drowning incidents in swimming pools
Being one of the leading causes of death; drowning has become a severe problem in the past few years. Our goal from this project is to focus on the comprehensive survey of drowning detection and prevention techniques. There are various methodologies put up in the domain of swimming pool safety using different intelligent control systems. Various methods have been adopted for drowning detection using the concepts of image processing, pressure and motion sensing. The main objectives of this work are to detect the drowning person in an indoor swimming pool and send an alarm to the lifeguard to rescue if the previously detected person is missing for a specific amount of time.




