Highlights
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Scalable and user friendly neural 🧠 forecasting algorithms.
A Python signal analysis toolbox for computing spectral-domain interactions using the bispectrum.
A Python library for amortized Bayesian workflows using generative neural networks.
The plug-and-play, browser-accessible, containerised data analysis environment.
The containers can be used in combination with our transparent singularity or neurocommand tool, that wrap the executables inside a container to make them easily available for pipelines
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.
A curated list of awesome neuro-foundation models
BestRAG: A library for hybrid RAG, combining dense, sparse, and late interaction methods for efficient document storage and search.
hnn-llm streamlines access to Human Neocortical Neurosolver (HNN) guide with advanced search mechanisms and efficient information retrieval.
Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"