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dunovank

My interests fall into a few different buckets: cognitive and compuational neuroscience (focus of my PhD), NLP and deep representation learning (what I work on now), and tinkering with UI themes (afterhours hobby).

One manifestation of said UI tinkering is the Jupyter-Themes library for controlling the Jupyter Notebook's UI and syntax highlighting. More recently I've started working on similar themes for JupyterLab (successor to the classic Jupyter Notebook): JupyterLab Darkside Theme.

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Kyle Dunovan's Projects

one-choice-ddm icon one-choice-ddm

Parameter Estimation and Simulation Library for one-choice drift diffusion model

p-sif icon p-sif

Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging

parallax icon parallax

Tool for interactive embeddings visualization

param_recovery icon param_recovery

Suite to test whether your model can recover parameters. Experimental.

personal-blog icon personal-blog

Deploy your own Notion-powered website in minutes with Next.js and Vercel.

pfh icon pfh

Supplementary information, code, & examples for probabilistic Face/House experiment

portfoliofy icon portfoliofy

🔥 Dynamically Self Updating Portfolio GitHub Action

power_nrn icon power_nrn

Power analysis for Nature Reviews Neuroscience review

practical-machine-learning-with-python icon practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

prior-preferences icon prior-preferences

Data, stimuli, materials, and code for Tarantola et al, Prior preferences beneficially influence social and non-social learning. Nature Communications (2017)

py-rse icon py-rse

Research Software Engineering with Python course material

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pydbm icon pydbm

Python package implementing the Dynamic Belief Model by Yu and Cohen (2008)

pyksvd icon pyksvd

A highly optimized, parallel implementation of the Batch-OMP version of the KSVD learning algorithm.

pyn icon pyn

Neuron(s)-based library in Python using numpy and Blender Game Engine.

pyseqsample icon pyseqsample

Python functions to study sequential sampling models of decision-making

python-fire icon python-fire

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

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