|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Psychopy||1,476||a day ago||30||May 24, 2022||230||gpl-3.0||Python|
|For running psychology and neuroscience experiments|
|Awesome Neuroscience||974||9 months ago|
|A curated list of awesome neuroscience libraries, software and any content related to the domain.|
|Eyeloop||383||a year ago||6||gpl-3.0||Python|
|EyeLoop is a Python 3-based eye-tracker tailored specifically to dynamic, closed-loop experiments on consumer-grade hardware.|
|Neurokit.py||253||5||1||3 years ago||6||September 05, 2017||31||mit||Python|
|A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).|
|Opensesame||219||8 days ago||9||February 07, 2022||78||gpl-3.0||Python|
|Graphical experiment builder for the social sciences|
|Psycho.r||110||4||3 years ago||17||January 19, 2021||17||other||R|
|An R package for experimental psychologists|
|Expyriment||104||8 months ago||6||gpl-3.0||Python|
|Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments|
|Awesome Cogsci||49||2 years ago||12||mit|
|An Awesome List of Cognitive Science Resources|
|Datasciencepsychneuro||47||5 months ago||7||lgpl-3.0||Jupyter Notebook|
|Repository for the Data Science for Psychology and Neuroscience course at CMU (Verstynen)|
|Psychxr||32||10 months ago||7||July 27, 2021||2||other||Cython|
|Python extension library for interacting with eXtended Reality displays, intended for research in neuroscience and psychology.|
This is the official repository of the CMU class Data Science for Psychology and Neuroscience.
Check the Wiki tab for helpful links for getting started
The Jupyter book for this class (including links to lectures, tutorial notebooks, and discussion questions) can be found here:
The lectures can also be found on this YouTube playlist:
Answers to discussion questions can be submitted here:
Check here regularly for updates.
The associated folders are:
Homeworks: Jupyter notebooks for the homework assignments will be posted here.
Primers: A collection of primers on basic statistics that students are assumed to know will be placed here.
Readings: PDFs of all readings can be found here. Items that are not in the public domain will be on Canvas.