4 projects for "educational linux" with 2 filters applied:

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    Deep-Learning-with-TensorFlow-book

    Deep-Learning-with-TensorFlow-book

    Open source Deep Learning book, based on TensorFlow

    Deep-Learning-with-TensorFlow-book is an open-source deep learning book based on TensorFlow 2.0. It combines theory with practical examples, making it suitable for beginners who want to learn deep learning through hands-on code. The repository includes the PDF book, companion source code, course slides, and notebook-style materials. It covers core machine learning and deep learning concepts through TensorFlow-based implementation. The project also supports educational use, with materials...
    Downloads: 3 This Week
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  • 2
    Deep Learning cheatsheets

    Deep Learning cheatsheets

    VIP cheatsheets for Stanford's CS 230 Deep Learning

    Deep Learning cheatsheets forStanford's CS 230 is an educational repository that compiles comprehensive cheat sheets, summaries, and study resources covering the core concepts taught in Stanford’s CS230 Deep Learning course. The project organizes complex machine learning topics into visually structured reference materials that simplify studying neural networks, convolutional architectures, recurrent networks, optimization strategies, and training methodologies. It was created to help...
    Downloads: 0 This Week
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  • 3
    RL-Stock

    RL-Stock

    Automated stock trading through a simulated training environment

    RL-Stock is a reinforcement learning project that explores automated stock trading through a simulated training environment. It is written as an educational experiment rather than a financial product or investment recommendation system. The project includes scripts for collecting stock data, defining a reinforcement learning environment, training an agent, and visualizing results. It focuses on how an agent can learn trading-like behavior through rewards, states, and actions. The repository...
    Downloads: 0 This Week
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  • 4
    Deep Reinforcement Learning TensorFlow

    Deep Reinforcement Learning TensorFlow

    TensorFlow implementation of Deep Reinforcement Learning papers

    Deep Reinforcement Learning TensorFlow is a comprehensive TensorFlow codebase that implements several foundational deep reinforcement learning algorithms for educational and experimental use. The repository focuses on clarity and modularity so users can study how different RL approaches are built and compare their behavior across environments. It includes implementations of well-known algorithms such as Deep Q-Networks (DQN), policy gradients, and related variants, demonstrating how neural...
    Downloads: 0 This Week
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