Highlights
- Pro
Stars
Introductory tutorial on the Stan language
Programs used for determining online reaction time via Canonical Correction Search
Keep code, data, containers under control with git and git-annex
USB-DUX boards are open source/hardware data acquisition devices for Linux with full Linux kernel & debian/Ubuntu support.
Transparent and privacy-friendly synthetic data generation
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
A student activity for introductory statistics courses using causal inference methods.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
A curated list of causal inference libraries, resources, and applications.
A web app for a LLM-based chatbot with many capabilities
Graphical analysis of structural causal models / graphical causal models.
Code accompanying the paper "A Deep Learning Method for Comparing Bayesian Hierarchical Models".
An Open-Source Python Package to Facilitate Research in Biomechanics
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
A lightweight R package providing Stan models for JASP's Item Response Theory module, which are compiled during package installation.
Statistical Rethinking Course for Jan-Mar 2023
Modified git course for Stanford CORE 2022 Spring talk series
A Python package for causal inference in quasi-experimental settings
A collection of resources and ideas for running workshops/seminar about Open Science
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
MATLAB utility functions written by Kendrick Kay
An implementation of a visual working memory capacity experiment by Vogel & Machizawa (2004) using MATLAB and Psychtoolbox 3.
A brightness discrimination experiment (method of constant stimuli, 2AFC paradigm) using MATLAB & Psychtoolbox 3. Data Analysis is performed using the psignifit toolbox.
Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.