Showing 21-40 of 45 projects
Learn to build a Second Brain AI assistant with LLMs, agents, and fine-tuning techniques.
A plain text note-taking assistant focused on the Zettelkasten note-taking method.
Digital garden software for note-taking and knowledge management
GigaBrain-0 is a powerful AI model that enables vision-language-action capabilities for vibe coders.
A self-hosted, open-source knowledge base platform built with Python and JavaScript for managing notes and ideas.
A fractal graph-of-thought tool for AI agents, web links, notes, and code that enables rhizomatic mind-mapping and second brain workflows.
A personal blog and website hosted on GitHub for the author xiaolai, covering a wide range of topics.
Org-mode based wiki and concept mapping tool for developers focused on AI-powered coding workflows.
A curated list of awesome Public Zettelkastens, Second Brains, and Digital Gardens for developers.
A personal knowledge management system and digital garden for Swyx, a developer focused on building with AI tools.
BrainFlow is a library for obtaining, parsing and analyzing data from various biosensors like EEG, EMG, ECG.
A curated list of awesome neuroscience libraries, software, and resources for developers interested in brain-related technologies.
Neurolab Hardware - An open-source hardware project for brain-computer interface (BCI) development.
A collection of Convolutional Neural Network (CNN) models for EEG signal classification using Keras and Tensorflow
Curated collection of Brain-Computer Interface (BCI) resources for developers and researchers.
A Python library for machine learning on neuroimaging data, providing a high-level API for brain imaging analysis.
Utility AI library for the Bevy game engine
A curated collection of resources on applying Transformers to medical imaging tasks like segmentation, classification, and synthesis.
This is a workshop repository for the Google Brain Tokyo team, focusing on AI and machine learning topics.
Spiking Brain-inspired Large Models with efficient attention, MoE, and spike encoding for AI and ML developers.
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