Name: Kyle Dunovan
Type: User
Bio: Computational behavioral scientist. Brains, machines, and themes.
Twitter: dunovank
Location: Washington DC
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.
multilevel_modeling
Tutorial on multilevel modeling, using Gelman radon example
nddm_simulations
Some simulations of the neural drift diffusion model
neat-python
Python implementation of the NEAT neuroevolution algorithm
nelafeatures
NELA Features for News Veracity
nengo
A Python library for creating and simulating large-scale brain models
netwulf
Interactive visualization of networks based on Ulf Aslak's d3 web app.
neural-network-from-scratch
A neural network implementation from scratch.
neural-networks
neural-networks-1
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
neuronaldynamics-exercises
Python exercises accompanying the book "Neuronal Dynamics"
neurosciences
Computational Neurosciences repository
nichord
nlp-benchmarks
nlp-stuff
A bit of everything about text and nlp [IN PROGRESS]
nlp-with-python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
notebook-teachingtips
A Place for Posting Resources for Teachers, TAs and Students in courses using Jupyter Notebooks
nteract
:notebook: Desktop notebook app + packages
obstacles-model
oceans16-syntax
Oceans16 Color Scheme for Atom
odsc-east-python-2018
Introduction to Python for Data Science
one-choice-ddm
Parameter Estimation and Simulation Library for one-choice drift diffusion model
one-dork-syntax
one-dork-ui
Atom One dark UI theme
p-sif
Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging
pachyderm
Reproducible Data Science at Scale!
parallax
Tool for interactive embeddings visualization
param_recovery
Suite to test whether your model can recover parameters. Experimental.
pfh
Supplementary information, code, & examples for probabilistic Face/House experiment
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
