Stars
Python suite for neuroscience research across all modalities.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Adaptive Test-time Learning and Autonomous Specialization
An unsupervised framework for inferring the latent states in time series data
SRGDiff: a step-aware residual-guided diffusion model for EEG spatial super-resolution. It learns dynamic, step-wise residual conditions from low-density EEG to steer denoising and recover high-den…
Very low latency speech to text, intent recognition, and text to speech, for building voice agents and interfaces
Repo for the project/paper: Disentangling Hierarchical and Sequential Computations during Sentence Processing
Warcraft III Peon voice notifications (+ more!) for Claude Code, Codex, IDEs, and any AI agent. Stop babysitting your terminal. Employ a Peon today.
Tree-structured recurrent switching linear dynamical systems
Bayesian learning and inference for state space models
Pytorch implementation of RED-SDS (NeurIPS 2021).
🎥 Make videos programmatically with React
EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code
Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation ana…
automatically create cortical flatmaps from FreeSurfer surfaces
A python library for user-friendly forecasting and anomaly detection on time series.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
3rd Place Solution - LibriBrain NeurIPS 2025
Winning solution for the MBHSEG 2024 Challenge @MICCAI 2024
Deep Learning based segmentation of aSAH related pathologies on non contrast CT images
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
OpenSpindleNet turned into a python package for easy inference
TabICLv2: A state-of-the-art tabular foundation model