This project is a collection of educational Jupyter Notebooks providing tutorials on neural network construction and tensor operations using the TensorFlow framework. It serves as a machine learning educational repository and implementation guide for deep learning students. The suite focuses on specific advanced architectures, including convolutional networks for image classification, residual networks with skip connections for training stability, and variational autoencoders for generative modeling and data synthesis. It also includes guides for building denoising and deep autoencoders to pe
This project is a collection of interactive Python notebooks and educational resources designed for mastering data science, machine learning, and numerical computing. It provides a series of practical guides and tutorials covering deep learning, big data processing, and statistical analysis. The repository features specialized instructional suites for implementing classical machine learning algorithms, building deep learning model architectures, and managing AWS cloud infrastructure. It includes dedicated notebooks for data visualization and numerical computing exercises. The project covers
ABP is an opinionated architectural framework for building enterprise software solutions using .NET and ASP.NET Core. It serves as a structural toolkit for implementing domain-driven design and microservices patterns, providing a modular enterprise architecture where functionality is organized into independent, pluggable modules. The platform is specifically designed to support multi-tenant SaaS architectures, isolating data and configurations for multiple independent customers within a single application instance. It provides enterprise boilerplate infrastructure and pre-configured templates
A Framework for creating Amazon Echo (Alexa) skills using Node.js