saurabh180 Goto Github PK

18.337_2017

18s096

18.S096 three-week course at MIT

abneuro

action-oriented

Repository for "Learning action-oriented models through active inference"

bap

Bayesian Analysis with Python (Second Edition)

barabasi-albert_network

Barabási–Albert Network. A Step-by-Step Model with Visualizations created in Python 3.

bayesian-analysis-with-python

Bayesian Analysis with Python by Packt

bayesian-analysis-with-python-second-edition

Bayesian Analysis with Python - Second Edition, published by Packt

bayesianscience

Scientific analyses using Bayesian statistics

bayesrl

Code to fit Bayesian versions of simple reinforcement learning models

berkeley

The Hacker Within at the University of California - Berkeley

better-science-code

A presentation on best coding/data management practices based on my own experiences of scientific computing and data analysis and heavily borrowing from the recommendations of many others. View presentation at: https://edeno.github.io/Better-Science-Code

bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

books

Free Ebooks

cardiac-active-inference

This repository contains all of the code needed to reproduce our simulations and figures, as part of our manuscript on active inference and interoception.

celeste.jl

Scalable inference for a generative model of astronomical images

charlie2

Open-source neurocognitive test battery written in Python

chartr

CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks

cnw

Introduction to computational neuroscience workshop

cognitivecontrol

A neuropsychological task measuring different aspects of cognitive control (processing speed, inhibition, conflict resolution...)

cogsci17-infer

A spiking neural model of life span inference

complexspan

A Psychopy implementation of a working memory span task

containers-for-science

Introduction to use of containers for computational science and data analysis

delay3ways

Our study on bridging the gap between animal & human studies of delay-discounting

doing_bayesian_data_analysis

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

dynamicwalking2018.jl

Julia Robotics tutorial presented at Dynamic Walking 2018

econ714_fall_2013

Examples for Econ 712, Fall 2013

episodic-semantic-network

evidently

Simulate Evidence Accumulation Models in Python

extramaterials

Extra materials - for exploring other topics.