Pinned Repositories
ddm-ubelix-jobs
DiffusionModels.jl
This repository provides a Julia interface to Jan Drugowitsch's C++ Diffusion model library.
dm
C++ Diffusion model toolset with Python, Matlab and Julia interfaces
dotfiles
Configuration files
learnmultilevelmodels
mcq
state-space-models
bfh-reflection-mentor
promptly-educated
promptly-literate
awellis's Repositories
awellis/Fechner.jl
This package starts from the monistic thought that bodily facts and conscious facts, though not reducible one to the other, are different sides of one reality. Its originality lies in trying to discover an exact mathematical relation between them.
awellis/PerceptualLearning.jl
A Julia package for the Bayesian analysis of perceptual learning data
awellis/Quest.jl
A Julia implementation of the Quest (Bayesian adaptive psychometric) method
awellis/VestibularThresholds.jl
awellis/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
awellis/BayesianKnowledgeTracing
awellis/bkt
awellis/bootsteps
step-by-step tutorial on how to implement basic bootstrap analyses
awellis/codespaces
awellis/computational-modelling
Code and website accompanying Farrell & Lewandowsky's (2017) book
awellis/experimentology
awellis/HeadTurn.jl
awellis/imapc-experiment
awellis/julia-deeplearning-book
Repo that hosts the companion book of Julia for Deep Learning
awellis/knowledge-base-assistant
awellis/knowledge-tracing
awellis/Learn_Prompting
awellis/learning-companion
awellis/Lindley.jl
Uncertainty is a personal matter; it is not the uncertainty but your uncertainty.
awellis/mental-simulation-as-control
awellis/MentalSimulation.jl
awellis/mlbd-2022
Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2022.
awellis/musicians-with-synaesthesia
awellis/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
awellis/othello-world
Emergent world representations: Exploring a sequence model trained on a synthetic task
awellis/Psychophysics.jl
This package quantitatively investigates the relationship between physical stimuli and the sensations and perceptions they affect.
awellis/quarto-actions
awellis/ragbot
awellis/Turkie.jl
Turing + Makie = Turkie
awellis/zero_to_gpt
Go from no deep learning knowledge to implementing GPT.