Shypd.aiThe largest open index of AI toolsDeep Architecture Genealogy is an open-source project that maps the evolution of deep learning architectures. It provides a visual and text-based genealogy of various models, including CNNs, GANs, and RNNs, for researchers and practitioners.
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Deep Architecture Genealogy is an open-source project dedicated to mapping the vast and rapidly evolving landscape of deep learning architectures. It provides a comprehensive genealogy, illustrating the relationships and progression of various models such as CNNs (AlexNet, VggNet, ResNet), Generative Models (GANs, VAEs), Reinforcement Learning Algorithms (A3C, DARLA), and RNNs (LSTM, GRU, Transformer). The project is community-maintained, encouraging contributions via pull requests to its text-based genealogy file. This resource is invaluable for researchers, students, and practitioners seeking to understand the historical development and interconnections of deep learning models, offering both a visual mindmap and a detailed text version of the architectural lineage.
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