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Filip Melinscak's Projects

bambi icon bambi

BAyesian Model-Building Interface (BAMBI) in Python.

ci_demo icon ci_demo

Demonstration of setting up continuous integration for a Python project

coale-paper icon coale-paper

Code accompanying the "Computational optimization of associative learning experiments" (Melinscak and Bach, 2019) paper.

cognibench icon cognibench

CogniBench is a software framework for benchmarking cognitive models

examples icon examples

Examples of exercises that accompany Effective Computation in Physics

gershmanlab icon gershmanlab

Functions for the Gershman Computational Cognitive Neuroscience lab at Harvard.

lcm icon lcm

Latent cause model of associative learning

mfit icon mfit

Simple model-fitting tools

moxie icon moxie

`moxie` (formally, MOCSci) is a model of optimization-centric science

psom icon psom

pipeline system for octave and matlab

python-jumpstart-course-demos icon python-jumpstart-course-demos

Contains all the "handout" materials for my Python Jumpstart by Building 10 Apps course. This includes try it yourself and finished versions of the 10 apps.

sciunit icon sciunit

A Python framework for test-driven validation of scientific models.

tvb-data icon tvb-data

Various demonstration data for use with TVB.

tvb-library icon tvb-library

The Virtual Brain scientific library. For some functionality requires tvb-geodesic and tvb-data.

tvb-matlab icon tvb-matlab

NOT COMPLETE - MATLAB interface to TVB. Requires tvb-framework.

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