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The Pool class is designed for efficient, parallelized data collection from multiple environments, particularly useful in reinforcement learning settings. It leverages Python's multiprocessing module to manage shared memory and execute environment interactions
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The NoteDance/optimizers repository is a comprehensive collection of optimization algorithms for TensorFlow/Keras. It extends the standard TensorFlow optimizer offerings with a wide range of state-of-the-art optimization techniques, enabling users to select th
Note is a deep learning framework built on top of TensorFlow that provides a comprehensive set of tools for constructing and training neural networks.