Pinned Repositories
afex
Analysis of Factorial EXperiments (R package)
Applied-inferential-statistics
BayesCog_Wien
Teaching materials for BayesCog at Faculty of Psychology, University of Vienna
brms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
CF
cheatsheets
Official Matplotlib cheat sheets
CircularDDM
Circular Drift-Diffusion Model
course-content
Summer course content for Neuromatch Academy
deep-learning-basics
A reproducible introductory course on the basics of deep learning.
MLPG
amanirad's Repositories
amanirad/Applied-inferential-statistics
amanirad/afex
Analysis of Factorial EXperiments (R package)
amanirad/CF
amanirad/cheatsheets
Official Matplotlib cheat sheets
amanirad/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
amanirad/DiffusionModelConflict
amanirad/DMCcpp
Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions (https://www.sciencedirect.com/science/article/pii/S0010028515000195). NB. See also R package DMCfun for further functionality including fitting procedures.
amanirad/DMCfun
R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions (https://www.sciencedirect.com/science/article/pii/S0010028515000195)
amanirad/experimental-psychology
Course materials for PSYC 11: Laboratory in Psychological Science, Dartmouth College (Instructor: Jeremy Manning)
amanirad/ggseg
Plotting tool for brain atlases, in ggplot
amanirad/hDDM_attention
The current repository is able to assess the relationship between EEG components and HDDM parameters of top-down attention in perceptual decision-making using a multiple regression model
amanirad/idealstan
idealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Latent space model also included. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).
amanirad/jsPsych
A JavaScript library for creating and running behavioral experiments in a web browser
amanirad/jsPsychExperiments
Example Online Behavioural Psychology Experiments using jsPsych
amanirad/latex
amanirad/math
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
amanirad/method_HtSSM_aDDM
Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.
amanirad/MNE-Preprocessing
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
amanirad/orsvm
This project contains ORSVM package which is a python package to SVM based on orthogonal kernel functions
amanirad/pagedown-cv
Templates for generating a CV with R Markdown + entries in a spreadsheet
amanirad/PDEBench
PDEBench: An Extensive Benchmark for Scientific Machine Learning
amanirad/Practical-Applications-in-R-for-Psychologists
Lesson files for Practical Applications in R for Psychologists.
amanirad/pybeam
PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models
amanirad/pydmc
Python implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions (https://www.sciencedirect.com/science/article/pii/S0010028515000195). NB. See also R package DMCfun for further functionality including fitting procedures.
amanirad/pystan
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
amanirad/range
amanirad/RL_tutorial_materials
amanirad/stat_rethinking_2022
Statistical Rethinking course winter 2022
amanirad/tidybayes
Bayesian analysis + tidy data + geoms (R package)
amanirad/vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB