Mohammad Bayazi's repositories
home
Mohammad Javad Darvishi Bayazi HomePage
braindecode
Deep learning software to decode EEG or MEG signals
TFC-pretraining
Self-supervised contrastive learning for time series via time-frequency consistency
EEG-Datasets
A list of all public EEG-datasets
pytorch-transformer-ts
Repository of Transformer based PyTorch Time Series Models
TimeseriesContrastiveModels
A curation of SOTA contrastive learning models for univariate and multi-variable time series learning.
brain-age-benchmark-paper
M/EEG brain age benchmark paper
DomainBed_
DomainBed is a suite to test domain generalization algorithms
sam
SAM: Sharpness-Aware Minimization (PyTorch)
eeg_pre-diagnostic_screening
A deep learning based platform for EEG signal classification
dn3
The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.
phuber
[Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)
NeurIPS_BEETL
This is the NeurIPS BEETL repository (https://beetl.ai)
pytorch-randaugment
Unofficial PyTorch Reimplementation of RandAugment.
wav2vec2-huggingface-demo
Speech to Text with self-supervised learning based on wav2vec 2.0 framework using Hugging Face's Transformer
moabb
Mother of All BCI Benchmarks
cleanline
Clean Line
ssl_baselines_for_biosignal_feature_extraction
Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.
dl-eeg-tutorial
Hands-on tutorial on deep learning for EEG classification.
uniformaugment
Unofficial PyTorch Reimplementation of UniformAugment.