Kyle Dunovan (dunovank)

dunovank

Geek Repo

Location:Washington DC

Twitter:@dunovank

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CoAxLab

Kyle Dunovan's repositories

ExtraMaterials

Extra materials - for exploring other topics.

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Meta-RL

Implementation of Meta-RL A3C algorithm

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neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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Workbooks

Notebooks to work along with, during hands-on coding exercises, during sections.

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bayesian2afc

Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.

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dm

C++ Diffusion model toolset with Python and Matlab interfaces

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eaglejs-demo

Demo slideshows for Eagle.js

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hyper

A terminal built on web technologies

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introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

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LongitudinalCausalStrengthModels

Different models for computing causal strength from longitudinal data

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ml_cheat_sheet

My notes and superstitions about common machine learning algorithms

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ML_CNBC

Jupyter notebooks and course material for machine learning group at the CNBC

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mm_dark_theme

Dark theme for IPython and Jupyter notebooks

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neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

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neuronaldynamics-exercises

Python exercises accompanying the book "Neuronal Dynamics"

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Notebook-TeachingTips

A Place for Posting Resources for Teachers, TAs and Students in courses using Jupyter Notebooks

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nteract

:notebook: Desktop notebook app + packages

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one-dork-ui

Atom One dark UI theme

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pydbm

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

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pyksvd

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

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SectionMaterials

Tutorial notebooks covering the course topics.

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seth127.github.io

Seth's Github Pages

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visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

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vispy

Main repository for Vispy

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wfpt_py

Expressions relating to wiener first passage times (aka "diffusion decision model" in psychology)

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