Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Pre-trained Transformer on Brain Signals

PyTorch implementation of FastSurferCNN

Code for paper An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

[ICLR 2023] Code for BrainBERT

Mother of All BCI Benchmarks

Implementation of “DreamDiffusion: Generating High-Quality Images from Brain EEG Signals”

Brain Dynamics Programming in Python

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

Lead-DBS is a scientific toolbox facilitating deep brain stimulation electrode locations and connectomic imaging.

Neuroimaging analysis and visualization suite

Code base for MinD-Vis

kaldi-asr/kaldi is the official location of the Kaldi project.

Open3D: A Modern Library for 3D Data Processing

AI Toolkit for Healthcare Imaging

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

Contrast-agnostic segmentation of MRI scans

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

From the Kleen Lab at UCSF (http://kleen.ucsf.edu). Software for heatmaps of seizure activity projected onto reconstructed brains (Omni-Planar and Surface Casting of Epileptiform Activity). PAPER: …

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

Phase-Amplitude Coupling under Python

NEST GPU

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images