saurabhr Goto Github PK

2019-cs109b

adopy

Adaptive Design Optimization for Experimental Tasks

aibiology.github.io

Web content

appliedstatisticsforneuroscience

Materials for UC Berkeley Neuroscience 299

bayesian-cognitive-modeling-in-pymc3

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

beginningsinpystan

causal-inference-and-discovery-in-python

Causal Inference and Discovery in Python by Packt Publishing

choiceconfidencecontrolexp

choiceconfidenceexp

cog_summer_workshops_2021

cogpsychpy

a collection of scipts to streamline descriptive statistics for psychology data

comppsychcourse_zurich2022

Matlab code used in the practical tutorial on drift-diffusion models at TNU - Computational Psychiatry Course Zurich 2022.

context-sensitive-sr

Context-sensitive semantic relatedness research.

course_website_template_datascience

cyberglot

dartbrains

This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught by Prof Luke Chang, PhD.

data_analysis

Streamline a data analysis process

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

fa23

Fall 2023 Website for Data 8

insight

intropy

Materials for a 2 week Python course taught at the Research Master Psychology (University of Amsterdam)

jspsychtutorial

keras-pytorch-avp-transfer-learning

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

la_in_numpy

Linear Algebra using numpy.

lecture-python.myst

Quantitative Economics with Python

linux_training

Intro to Linux training material

llm-psychophysics

Data and code for the paper: "Large language models accurately predict human psychophysical judgments across six modalities"

metadpy

Metacognitive efficiency modelling in Python.

mne-python-intro-slides

MNE-Python presentation

mpt4mst

multinomial processing tree models of the Mnemonic Similarity Task