alexanderfengler Goto Github PK

addm

addmtoolbox

Collection of Tools for fitting attentional drift diffusion models (standard drift diffusion models included)

alexanderfengler.github.io

Personal Webpage

applied-statistics-reading-group

Notes, references, codes, and everything in between for a reading group on application of advanced statistics.

asianprocesses

Collection of Category Learning Algorithms

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

bambi

BAyesian Model-Building Interface (Bambi) in Python.

bayesflow

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

blog_posts

Repo with intended Blog Posts.

bridgesampling

R package for bridge sampling

cbm

computational and brain/behavior modeling

cbm_py

Implements HBI algorithms from Piray et. al. (2019)

clash_of_worlds

Github repository for working paper: A clash between worlds: Posterior Amortization and the Scientific Workflow

cvae

Some implementations of Conditional Variational Autoencoders with Tensorflow Probability Layers

ddm_noise_parameter_by_steps

A blog post and associated code regarding the distribution of end-states of a markov-accumulator process when changing the amount of steps we allow the process to propagate

ddm_solutions

ddmsimu

Drift Diffusion Model simulation.

dynddm

Code for project in which drift depends on dynamical systems

every-programmer-should-know

A collection of (mostly) technical things every software developer should know

example-models

Example models for Stan

experimentdesign_multiitemchoice

An experiment that lets the participant take decisions over differing amount of items on the screen, which have been rated before. Coded with the help of Psychtoolbox. Ready for eyetracking (Eyelink).

experimentdesign_nbacktask

N Back working memory task, coded with the help of the Matlab Psychtoolbox. A number of difficulty levels included.

formulae

Formulas for mixed-effects models in Python

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

hddm_bayesflow

hddm_workshop

Material for a basic HDDM Tutorial Workshop

hddmnn_tutorial

Code for a Tutorial on using the Neural Network Extension of HDDM

hddmnn_tutorial_paper

Scripts and Tutorial as in the Tutorial Paper for HDDM