Pinned Repositories
3.eeg_recognation
Python (deep learning and machine learning) for EEG signal processing on the example of recognizing the disease of alcoholism
AD-DL
Framework for the reproducible classification of Alzheimer's disease using deep learning
awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
azure_pipelines
https://github.com/Microsoft/python-sample-vscode-flask-tutorial
Basic-Introduction-to-Python
Introduction to Mathematics and Python using Neuroscience Examples
BioSPPy
Biosignal Processing in Python
clinica
Software platform for clinical neuroimaging studies
CodeTrans
Pretrained Language Models for Source code
DeepDementia
pytorch_geometric_temporal
A Temporal Extension Library for PyTorch Geometric
yogeshmj's Repositories
yogeshmj/pytorch_geometric_temporal
A Temporal Extension Library for PyTorch Geometric
yogeshmj/3.eeg_recognation
Python (deep learning and machine learning) for EEG signal processing on the example of recognizing the disease of alcoholism
yogeshmj/AD-DL
Framework for the reproducible classification of Alzheimer's disease using deep learning
yogeshmj/awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
yogeshmj/azure_pipelines
https://github.com/Microsoft/python-sample-vscode-flask-tutorial
yogeshmj/Basic-Introduction-to-Python
Introduction to Mathematics and Python using Neuroscience Examples
yogeshmj/BioSPPy
Biosignal Processing in Python
yogeshmj/CodeTrans
Pretrained Language Models for Source code
yogeshmj/DeepDementia
yogeshmj/eeglib
A library with tools for EEG analysis
yogeshmj/ElectrophysiologyData
A list of openly available datasets in (mostly human) electrophysiology.
yogeshmj/eth2.0-specs
Ethereum 2.0 Specifications
yogeshmj/graphbrain
Language, Knowledge, Cognition
yogeshmj/jupyter
Jupyter metapackage for installation, docs and chat
yogeshmj/masters-thesis-alzheimers-detection
My masters thesis where I built a model pipeline using a CNN, SVM, and a custom SMOTE oversampling technique to identify and classify Alzheimer's in brain CT scans.
yogeshmj/MathToolsforNeuroscience
Materials for Mathematical Tools for Neuroscience course at Harvard (Neurobio 212)
yogeshmj/MMBERT
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA
yogeshmj/mne-bids
MNE-BIDS
yogeshmj/mne-features
MNE-Features software for extracting features from multivariate time series
yogeshmj/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
yogeshmj/modAL
A modular active learning framework for Python
yogeshmj/neo4j
Graphs for Everyone
yogeshmj/NeuroKit
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
yogeshmj/Neurological-Disorders-Classification
An image processing based solution for detecting epilepsy
yogeshmj/nilearn
Machine learning for NeuroImaging in Python
yogeshmj/open-computational-neuroscience-resources
A publicly-editable collection of open computational neuroscience resources
yogeshmj/pytorch-cifar
95.47% on CIFAR10 with PyTorch
yogeshmj/Seizure-Detection-Tutorials
A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets
yogeshmj/shapash
Shapash makes Machine Learning models transparent and understandable by everyone
yogeshmj/tigramite
Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at