dyhan316

iTransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

NoiseDetectionCNN-GRU

Classification of iEEG segments using CNN-GRU neural network

MICN

Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)

LIFT

The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.

pathformer

ElectrophysiologyData

A list of openly available datasets in (mostly human) electrophysiology.

Brant

Pre-trained Transformer on Brain Signals

Brant-2

mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

dn3

The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.

BrainBERT

[ICLR 2023] Code for BrainBERT

mind-vis

Code base for MinD-Vis

language

Evaluate computational models on their alignment to behavioral and neural measurements in the domain of language

PyPOTS

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

Brain-language-generation

Language Generation from Brain Recordings

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

neuron_as_deep_net

Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021

fMRI-reconstruction-NSD

fMRI-to-image reconstruction on the NSD dataset.

nanoT5

Fast & Simple repository for pre-training and fine-tuning T5-style models

PhysioPro

A deep learning framework for physiological data processing and understanding.

algonauts2023_transformers

poyo

Official Implementation of POYO-1 https://poyo-brain.github.io/

SeqML

A repository containing the implementations about our machine learning researches on sequence data and sequential decision making.

MedBLIP

BioMedLM

3DSAM-adapter

Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation

contrastive-brain-age-prediction

Code for the paper "Contrastive learning for regression in multi-site brain age prediction" | ISBI 2023 https://doi.org/10.1109/ISBI53787.2023.10230733

Dynamask

This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series. For more details on the theoretical side, please read our ICML 2021 paper: 'Explaining Time Series Predictions with Dynamic Masks'.

semantic-decoding

DiffE