zomorodi

zomorodi's Stars

• HennyJie/BrainGB

  Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

  Language:MATLAB18442

• euroladbrainlat/Structural-inequality-and-brain-dynamics-across-diverse-samples

  Language:Jupyter Notebook3

• happytudouni/SourceSpaceFCAnalysis_DCN

  Language:MATLAB203

• Ziaeemehr/netsci

  Network Science by Albert-László Barabási notes

  Language:Python2

• GeostatsGuy/DataScienceInteractivePython

  Python interactive dashboards for learning data science

  Language:Jupyter Notebook1.1k220

• NeuroTechX/EEG-ExPy

  EEG Experiments in Python

  Language:Python454125

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook40.4k4.3k

• williamgilpin/dysts

  Hundreds of strange attractors

  Language:Python42867

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python7.5k1.2k

• mickcrosse/mTRF-Toolbox

  A MATLAB package for modelling multivariate stimulus-response data

  Language:MATLAB8529

• sccn/imat

  Independent Modulators Analysis Toolbox

  Language:MATLAB41

• TomDonoghue/SigViz

  Animated visualizers for signals.

  Language:Jupyter Notebook111

• AntoineBellemare/biotuner

  Language:Python81

• PhilippThoelke/goofi-pipe

  real-time neuro-/biosignal processing and streaming pipeline

  Language:Python263

• GWeindel/hmp

  Repository for the hmp python package

  Language:Jupyter Notebook389

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  209k27.3k

• neurovium/Neuromatch-AJILE12

  Language:Jupyter Notebook2

• Asabeneh/30-Days-Of-Python

  30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

  Language:Python43.5k8.3k

• pythoneuro/repos-and-more

  91

• MAIF/shapash

  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

  Language:Jupyter Notebook2.8k335

• braindecode/braindecode

  Deep learning software to decode EEG, ECG or MEG signals

  Language:Python845183

• JuliaDynamics/NonlinearDynamicsTextbook

  Nonlinear Dynamics: A concise introduction interlaced with code

  Language:Julia22623

• voytekresearch/ECT-MST

  Language:Jupyter Notebook22

• diegocandiar/eeg_cluster_wilcoxon

  Language:MATLAB86

• davindicode/cosyne-2023-generative-models

  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.

  Language:Jupyter Notebook391

• raquellondon/TheEegNewsletter

  26

• brainets/CookingFrites

  Training and courses in the use of Frites

  Language:HTML43

• OHBA-analysis/Quinn2022_GLMSpectrum

  Language:Python61

• meagmohit/EEG-Datasets

  A list of all public EEG-datasets

  2.3k536

• arnodelorme/scd

  Scalp current density plugin for EEGLAB

  Language:MATLAB3