Type: User
Company: University of Groningen & University of Utrecht
Bio: French/German cognitive scientist, torturing cognitive models using electrophysiology in the Netherlands. #Stats #Bayes #linux enthusiast
Twitter: GWeindel
Location: Utrecht
Welcome to my Github profile, my name is Gabriel Weindel (he/him) and I'm a cognitive scientist. Currently I work as a postdoc both at the bernoulli institute for mathematics and computer science of the University of Groningen, an in the experimental psychology division of Utrecht University.
I am mainly interested in nerdy stuff about computational models of cognition (especially decision making), electrophysiology and Bayesian statistics.
To learn more check out my website
arviz
Exploratory analysis of Bayesian models with Python
bambi
BAyesian Model-Building Interface (BAMBI) in Python.
decomposingrt
Code and data for the paper Assessing model-based inferences in decision making with single-trial response time decomposition
eeg_preprocessing
eeg_preprocessing_mne
This is an example of my EEG preprocessing pipeline presentend at the meeting of the Cognitive Modelling group at the Rijksuniversiteit Groningen
eeg_thesis_chapter
gweindel
gweindel.github.io
gweindel.github.io-src
Source code for my website generated using the python Pelican package
gweindel.github.io_old
hmp
Repository for the hmp python package
hsmm_contrast
jupyter-hide-code-html
HTML template for Jupyter Notebooks with hidden code cells that can be revealed as required
jupyter_case_studies
Inference case studies in jupyter
lecture_experimental_design
A lecture (in French) I gave to 3rd year Bachelor students at Aix-Marseille University between February an April 2020
lecture_mental-chronometry-masco
Slides and R code for the course given to the 1st year master students of the Master de Sciences Cognitives at Aix-Marseille University 2020
lecture_mixed_models_amu_2021
Contains all the code necessary to reproduce the lecture on mixed models in cognitive science given to doctoral students at Aix-Marseille University during the month of april 2021.
lecture_r
A really short introduction (4 hours lecture) for psychology doctoral students at Aix Marseille University.
man_hmp
phd_thesis
prop_drift_model
Proportional drift diffusion model, aka Palmer-fit
pystan
PyStan, the Python interface to Stan
statistical-rethinking-with-python-and-pymc3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
the-decisive-role-of-non-decision-time
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
