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Neural Network Architectures — Artificial Intelligence & Machine Learning

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Neural Network Architectures — Artificial Intelligence & Machine Learning

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  • pytorch/pytorch

    pytorch/pytorch

    97,601GitHub

    PyTorch is a machine learning framework centered on a GPU-ready tensor library that supports multi-dimensional array operations across both CPU and accelerator hardware. It provides a foundational infrastructure for mathematical computation and dynamic neural network construction, utilizing a tape-based automatic diffe

    Pythonautograddeep-learninggpu
  • rasbt/LLMs-from-scratch

    rasbt/LLMs-from-scratch

    85,529GitHub

    This repository serves as an educational framework for building large language models from the ground up. It provides a structured curriculum that guides learners through the end-to-end lifecycle of model development, including data processing, architecture design, and optimization. By focusing on low-level implementat

    Jupyter Notebookaiartificial-intelligencechatbot
  • tensorflow/models

    tensorflow/models

    77,684GitHub

    This repository serves as a centralized collection of state-of-the-art deep learning architectures and reference implementations designed for research and application development. It provides a comprehensive toolkit for computer vision and natural language processing, offering pre-built models and training pipelines fo

    Python
  • d2l-ai/d2l-zh

    d2l-ai/d2l-zh

    75,708GitHub

    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
  • CompVis/stable-diffusion

    CompVis/stable-diffusion

    72,380GitHub

    Stable Diffusion is a generative machine learning pipeline that synthesizes high-resolution visual content by performing iterative denoising within a compressed latent space. By mapping natural language embeddings into pixel outputs through conditioned probabilistic processes, the framework enables the generation of im

    Jupyter Notebook