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Network Architectures and Layers · Awesome GitHub Repositories

3 repos

Awesome GitHub RepositoriesNetwork Architectures and Layers

Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Network Architectures and Layers. Refine with filters or upvote what's useful.

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Awesome Network Architectures and Layers GitHub Repositories

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  • TheAlgorithms/Python

    TheAlgorithms/Python

    217,914GitHubView on GitHub↗

    This project is a comprehensive repository of verified computational implementations designed to serve as an educational resource for computer science and algorithmic problem solving. It provides a structured collection of code examples that cover fundamental data structures, mathematical operations, and core programmi

    Pythonalgorithmalgorithm-competitionsalgorithms-implemented
  • d2l-ai/d2l-zh

    d2l-ai/d2l-zh

    75,708GitHubView on GitHub↗

    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

    Pythonbookchinesecomputer-vision
  • mlabonne/llm-course

    mlabonne/llm-course

    75,340GitHubView on GitHub↗

    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

    courselarge-language-modelsllm

Explore sub-tags

  • Attention Scoring FunctionsMathematical functions used to calculate the weight or relevance of input elements within an attention mechanism.
  • Bidirectional Recurrent Neural NetworksRNNs that process sequences in both forward and backward directions.
  • Convolutional OperationsMathematical techniques including padding, strides, and kernel applications for processing spatial data.
Image Convolutions
Mathematical operations used to extract spatial features from grid-based data like images.
  • Network in Network ArchitecturesNeural network designs utilizing micro-networks within convolutional layers to enhance feature abstraction.
  • Neural NetworksMulti-layered computational architectures designed to process complex input data and serve as the foundation for machine learning models.
  • Pooling LayersDownsampling operations used in neural networks to reduce spatial dimensions and computational complexity.
  • Recurrent Neural Networks TutorialsLearning resources explaining the theory and implementation of RNNs.