Awesome GitHub RepositoriesArchitecture and Operations

This project is an open-source, interactive educational platform designed to teach deep learning through a comprehensive, code-first curriculum. It provides a structured learning path that covers foundational mathematics, modern neural network architectures, and practical optimization techniques, enabling practitioners

Explains the mechanics of transposed convolutions for upsampling feature maps in generative and segmentation-based neural architectures.

This project is a comprehensive educational curriculum and engineering handbook focused on the lifecycle of large language models. It serves as a structured knowledge base for machine learning practitioners, covering the fundamental mathematical and architectural principles of transformer-based sequence modeling, as we

Explores strategies for combining multiple specialized model weights into a single unified architecture.