MohammadJavadD

G2DM

Generalizing to unseen domains via distribution matching

braindecode

Deep learning software to decode EEG, ECG or MEG signals

WOODS

Benchmarks for Out-of-Distribution Generalization in Time Series Tasks

EEG-Datasets

A list of all public EEG-datasets

APD_EEG

code for "Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning"

Colaboratory

Colaboratory notebooks

NeuroEngineering

Task designing + EEG processing

PsychoLLaVA

TI-DG

TSNE_EEG

TSNE_EEG

MohammadJavadD/APD_EEG

code for "Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning"

MohammadJavadD/EEG-Datasets

A list of all public EEG-datasets

MohammadJavadD/NeurIPS_BEETL

This is the NeurIPS BEETL repository (https://beetl.ai)

MohammadJavadD/PsychoLLaVA

MohammadJavadD/pytorch-randaugment

Unofficial PyTorch Reimplementation of RandAugment.

MohammadJavadD/pytorch-transformer-ts

Repository of Transformer based PyTorch Time Series Models

MohammadJavadD/AffectNet

MohammadJavadD/braindecode

Deep learning software to decode EEG or MEG signals

MohammadJavadD/brain-age-benchmark-paper

M/EEG brain age benchmark paper

MohammadJavadD/cleanline

Clean Line

MohammadJavadD/dn3

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

MohammadJavadD/DomainBed_

DomainBed is a suite to test domain generalization algorithms

MohammadJavadD/drw-dataanalysis-2022

MohammadJavadD/eeg_pre-diagnostic_screening

A deep learning based platform for EEG signal classification

MohammadJavadD/Generative-AI-with-LLMs

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

MohammadJavadD/home

Mohammad Javad Darvishi Bayazi HomePage

MohammadJavadD/IFT6135_Programming

MohammadJavadD/ivado-mila-dl-school-2021

MohammadJavadD/moabb

Mother of All BCI Benchmarks

MohammadJavadD/MohammadJavadD

MohammadJavadD/old_homepage

MohammadJavadD/phuber

[Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)

MohammadJavadD/sam

SAM: Sharpness-Aware Minimization (PyTorch)

MohammadJavadD/TFC-pretraining

Self-supervised contrastive learning for time series via time-frequency consistency

MohammadJavadD/TimeseriesContrastiveModels

A curation of SOTA contrastive learning models for univariate and multi-variable time series learning.

MohammadJavadD/TUH

MohammadJavadD/TUHAbnormal-Expansion-dataset

MohammadJavadD/vfa

code for "VFA: Vision Frequency Analysis of Foundation Models and Human"

MohammadJavadD/VTLAB2.3

MohammadJavadD/wav2vec2-huggingface-demo

Speech to Text with self-supervised learning based on wav2vec 2.0 framework using Hugging Face's Transformer