mdnunez

mdnunez's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python163k1.6k2.2k43k

• hadley/r4ds

  R for data science: a book

  Language:R4.4k2185774.2k

• Rdatatable/data.table

  R's data.table package extends data.frame:

  Language:R3.5k1654.3k968

• NeuromatchAcademy/course-content

  NMA Computational Neuroscience course

  Language:Jupyter Notebook2.6k95207969

• meagmohit/EEG-Datasets

  A list of all public EEG-datasets

  2.1k9014482

• rstudio/shiny-examples

  Language:JavaScript1.9k230893.8k

• blueberrymusic/Deep-Learning-A-Visual-Approach

  All of the figures and notebooks for my deep learning book, for free!

  Language:Jupyter Notebook386172119

• stefanradev93/BayesFlow

  A Python library for amortized Bayesian workflows using generative neural networks.

  Language:Python270236442

• isteinbrecher/latex2ai

  LaTeX Plugin for Adobe Illustrator

  Language:C++1394334

• mne-tools/mne-icalabel

  Automatic labeling of ICA components in Python.

  Language:Python8655814

• poldrack/pytest_tutorial

  simple pytest tutorial

  Language:Python654424

• psy-farrell/computational-modelling

  Code and website accompanying Farrell & Lewandowsky's (2017) book

  Language:R588159

• rkobler/TSMNet

  Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

  Language:Python42108

• GWeindel/hmp

  Repository for the hmp python package

  Language:Jupyter Notebook323657

• tmdemelo/pydcm

  Dynamic Causal Modeling with Python

  Language:Python31203

• laurafontanesi/rlssm

  Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.

  Language:Jupyter Notebook254113

• JagsJulia/Jags.jl

  Julia package for using Jags as an external program

  Language:Julia173225

• AGhaderi/MNE-Preprocessing

  MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.

  Language:Jupyter Notebook16204

• vidaurre/glhmm

  Language:Python16305

• INCF/artem-is

  https://incf.github.io/artem-is/

  Language:Python131310810

• lnccbrown/lans

  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"

  Language:Jupyter Notebook12401

• voytekresearch/EISlope

  Analysis code used to create figures in Gao et al., 2017

  Language:MATLAB12505

• AGhaderi/hDDM_attention

  The current repository is able to assess the relationship between EEG components and HDDM parameters of top-down attention in perceptual decision-making using a multiple regression model

  Language:Jupyter Notebook10214

• baribault/matstanlib

  A library of MATLAB functions for visualization, processing, and analysis of output from Bayesian models fit with Stan.

  Language:MATLAB910

• joachimvandekerckhove/jags-cddm

  A JAGS module for the circular diffusion model

  Language:NSIS6412

• mccorsi/CuttingGarden2023-RealTimeEEG_BCI

  Materials associated to the CuttingGarden session dedicated to BCI

  6301

• marxinal/Multimodal-MRS-Masters-Thesis

  Creating a multimodal (audio-lyrical) and comparing it with a unimodal MRS (audio-only) in the next-track recommendation tasks.

  Language:Jupyter Notebook210

• kmrdknrd/ncim-internship

  Language:Python1201

• kmrdknrd/psychopy-sst-ssvep

  Repository for a stop-signal task in PsychoPy. Also, SSVEPs.

  Language:MATLAB120

• raoelg/EZ2

  Updated Python implementation of the R package "EZ2"

  Language:Python110