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.
blog-notebooks
Ipython notebooks that are beeing used to generate blog posts.
bqplot
Plotting library for IPython/Jupyter Notebooks
bsac
Believer-Skeptic/Actor-Critic Cortico-BG Neural Network
caffeinated-pandas
cbgt
Spiking Neural Network of CBGT pathways
ccmsuite
Python cognitive modelling suite
ccn-course
cd4ml-scenarios
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
charformer-pytorch
Implementation of the GBST block from the Charformer paper, in Pytorch
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
cncc-2020
Computational Neuroscience Crash Course (University of Bordeaux, 2020)
cntk
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
coax_website
cogmodeling
Cognitive modeling resources
collocations
N-gram Extraction Approaches (bigrams, trigrams)
comet-commonsense
Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317
computational-neuroscience-uw
Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington
computational-publishing
congresstweets
Datasets of the daily Twitter output of Congress.
contextual_topic_identification
Steam review texting embedding analysis
conversational-datasets
Large datasets for conversational AI
convolutional-neural-networks
cookiecutter-docker-science
Cookiecutter template for data scientists working with Docker containers
cosmo-2017-tutorial
Tutorial on optimization and model fitting held at the CoSMo 2017 summer school.
cosmo2017
Data and scripts for the CoSMo 2017 summer school
course-nlp
A Code-First Introduction to NLP course
cracking_the_coding_interview
customtkinter
A modern and customizable python UI-library based on Tkinter
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
dabest-python
Data Analysis with Bootstrapped ESTimation
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.
