Kyle Dunovan's Projects
Parameter Estimation and Simulation Library for one-choice drift diffusion model
Atom One dark UI theme
Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging
Reproducible Data Science at Scale!
Tool for interactive embeddings visualization
Suite to test whether your model can recover parameters. Experimental.
Deploy your own Notion-powered website in minutes with Next.js and Vercel.
Supplementary information, code, & examples for probabilistic Face/House experiment
Latex code for making neural networks diagrams
🔥 Dynamically Self Updating Portfolio GitHub Action
Power analysis for Nature Reviews Neuroscience review
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.
Data, stimuli, materials, and code for Tarantola et al, Prior preferences beneficially influence social and non-social learning. Nature Communications (2017)
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Research Software Engineering with Python course material
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python package implementing the Dynamic Belief Model by Yu and Cohen (2008)
A highly optimized, parallel implementation of the Batch-OMP version of the KSVD learning algorithm.
Neuron(s)-based library in Python using numpy and Blender Game Engine.
iPython Notebooks
Python functions to study sequential sampling models of decision-making
generic task using psychopy
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
AI-based job search in Python
The "Python Machine Learning" book code repository and info resource
Some Reinforcement Learning in Python