Showing 6 of 6 projects
A comprehensive collection of data science Python notebooks covering deep learning, machine learning, big data, visualization, and essential tools.
Code samples and implementations from the book 'Neural Networks and Deep Learning' for educational purposes.
A Python library implementing state-of-the-art deep reinforcement learning algorithms with seamless Keras integration.
Original implementation and hyperparameters for the 2014 paper "Generative Adversarial Networks" (GANs).
A recurrent neural network that generates classical music using LSTM layers and convolutional-inspired architecture.
A deprecated repository for community-contributed Keras extensions like layers, activations, and loss functions.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.