Kyle Dunovan (dunovank)

dunovank

Geek Repo

Location:Washington DC

Twitter:@dunovank

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Organizations
CoAxLab

Kyle Dunovan's repositories

iPython-Notebook-Theme

Personal theme that I use for iPython notebooks

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jupyterlab_materialdarker

The Material Darker theme for JupyterLab

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rMSPRT

Matlab code implementing the recursive multi-hypothesis sequential probabilty ratio test (rMSPRT), as introduced in Caballero JA, Humphries MD, Gurney KN (2018) A probabilistic, distributed, recursive mechanism for decision-making in the brain. PLoS Comput Biol 14(4): e1006033. https://doi.org/10.1371/journal.pcbi.1006033

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Statistical-Rethinking-with-Python-and-PyMC3

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

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bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

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CogModeling

Cognitive modeling resources

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DABEST-python

Data Analysis with Bootstrapped ESTimation

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ddm_sims

Simualting decision making data and parameter recovery

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fast-dm-gui

A python-based graphical user interface for Windows users of fast-dm - a diffusion model analysis tool.

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FTRL

R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm

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glam

Code associated with our manuscript "Gaze Bias Differences Capture Individual Choice Behavior"

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glambox

A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)

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go-robot-nogo-robot

Exploring the role of striatal D1-MSNs and D2-MSNs in action selection using a robotic framework

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idea_relations

A framework to identify relations between ideas in temporal text corpora.

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ksvd

A ksvd implementation written in python.

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MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

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Mentoring

Various tips and tools for students

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ml-twitter-sentiment-analysis

Jupyter Notebook + Python code of twitter sentiment analysis

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nddm_simulations

Some simulations of the neural drift diffusion model

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odsc-east-python-2018

Introduction to Python for Data Science

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pytudes

Python programs to practice or demonstrate skills.

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SSI2018

Materials and code for the Introduction to Data Science in Python course at the 2018 UT Summer Statistics Institute

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statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

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tffm

TensorFlow implementation of an arbitrary order Factorization Machine

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volatileValues

volatileValues parameter generation, simulation, & analysis.

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WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

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