dyhan316's Stars
mne-tools/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
oliverguhr/transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
thuml/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
WenjieDu/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/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
PiotrNawrot/nanoT5
Fast & Simple repository for pre-training and fine-tuning T5-style models
zjc062/mind-vis
Code base for MinD-Vis
stanford-crfm/BioMedLM
openlists/ElectrophysiologyData
A list of openly available datasets in (mostly human) electrophysiology.
MedARC-AI/fMRI-reconstruction-NSD
fMRI-to-image reconstruction on the NSD dataset.
HuthLab/semantic-decoding
med-air/3DSAM-adapter
Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation
SelfishGene/neuron_as_deep_net
Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021
decisionintelligence/pathformer
wanghq21/MICN
Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)
microsoft/SeqML
A repository containing the implementations about our machine learning researches on sequence data and sequential decision making.
JonathanCrabbe/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'.
microsoft/PhysioPro
A deep learning framework for physiological data processing and understanding.
SPOClab-ca/dn3
The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.
SJTU-Quant/LIFT
The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.
neuro-galaxy/poyo
Official Implementation of POYO-1 https://poyo-brain.github.io/
czlwang/BrainBERT
[ICLR 2023] Code for BrainBERT
Qybc/MedBLIP
brain-score/language
Evaluate computational models on their alignment to behavioral and neural measurements in the domain of language
yzz673/Brant-2
yorgoon/DiffE
yzz673/Brant
Pre-trained Transformer on Brain Signals
xnejed07/NoiseDetectionCNN-GRU
Classification of iEEG segments using CNN-GRU neural network
YeZiyi1998/Brain-language-generation
Language Generation from Brain Recordings
EIDOSLAB/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
Hosseinadeli/algonauts2023_transformers