Saurabh Ranjan's repositories

Econ714_Fall_2013

Examples for Econ 712, Fall 2013

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18S096

18.S096 three-week course at MIT

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action-oriented

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

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BAP

Bayesian Analysis with Python (Second Edition)

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Barabasi-Albert_Network

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

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BayesianScience

Scientific analyses using Bayesian statistics

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Celeste.jl

Scalable inference for a generative model of astronomical images

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CHaRTr

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

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CognitiveControl

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

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ComplexSpan

A Psychopy implementation of a working memory span task

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delay3ways

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

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DynamicWalking2018.jl

Julia Robotics tutorial presented at Dynamic Walking 2018

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Evidently

Simulate Evidence Accumulation Models in Python

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HTTP.jl

HTTP for Julia

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IADB_2017_Workshop

Code and teaching material for "Macroeconomic Modeling with Julia", a workshop given for the IADB at the Central Bank of Argentina in 2017

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IntroToJulia

A Deep Introduction to Julia for Data Science and Scientific Computing

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Julia-DataFrames-Tutorial

A tutorial on Julia DataFrames package

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julia-quick-syntax-reference

Source Code for 'Julia Quick Syntax Reference' by Antonello Lobianco

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markdown-cv

a simple template to write your CV in a readable markdown file and use CSS to publish/print it.

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nistats-tutorial

Tutorial about the nistats package for fMRI analysis

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PyTorchZeroToAll

Simple PyTorch Tutorials Zero to ALL!

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quantecon-notebooks-datascience

Jupyter Notebooks for https://datascience.quantecon.org

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ReinforcementLearningAnIntroduction.jl

Julia code for the book Reinforcement Learning An Introduction

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seaborn

Statistical data visualization using matplotlib

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StateSpaceRoutines.jl

Package implementing common state-space routines.

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ThinkJulia.jl

Port of the book Think Python to the Julia programming language

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violet

:crystal_ball: Violet Jekyll Template

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VMLS-Companions

*This is a companion to the companion for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

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