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ajile12-nwb-data

brain-segmentation-pytorch

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

brainbert

[ICLR 2023] Code for BrainBERT

brainpy

Brain Dynamics Programming in Python

brant

Pre-trained Transformer on Brain Signals

caiman

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

cann_base

Basic Implementation of a Continuous-attractor Neural Network

causica

cbig

convolutional-pose-machines-pytorch

Pytroch version of Convolutional Pose Machines

dcrnn_brain_connectivity

Implementation of the DCRNN model, adapted for brain connectivity analysis.

deap

Distributed Evolutionary Algorithms in Python

deepsleepnet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

dino-vit-features

Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".

dreamdiffusion

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

eeg-dl

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

eeg_language_alignment

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

enkf-dnn-lod2020

Software Repository accompanying the paper "Ensemble Kalman Filter optimizing Deep NeuralNetworks: An alternative approach to non-performing Gradient Descent"

event-based_vision_resources

fastsurfer

PyTorch implementation of FastSurferCNN

freesurfer

Neuroimaging analysis and visualization suite

graphmae

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

img_pipe

Image processing pipeline for ECoG data

kaldi

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

l2l

Learning to Learn: Gradient-free Optimization framework

leaddbs

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

light-weight-refinenet

Light-Weight RefineNet for Real-Time Semantic Segmentation

lmflow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.