sdm.ai
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sdm.ai is focused on Sparse Distributed Memory (SDM), providing a comprehensive computational framework for running SDM experiments. The platform includes a range of open-source activities such as multiple Jupyter notebooks for experimentation, full framework documentation, and an ongoing open-source book. Users can explore various resources related to Pentti Kanerva's SDM, including theoretical results, applications, and new machine learning models. The goal is to help users test cognitive neuroscience theories using a massively parallel framework, with additional resources such as slides, a video-based mini-course, and a collection of relevant academic papers.
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Features
• open-source computational framework
• video-based mini-course on sdm
• resources related to cognitive neuroscience
• massively parallel sdm framework
• ongoing open-source book
• full documentation of the framework
• multiple jupyter notebook experiments
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