Owner
davidrpugh
17 indexed repositories · View on GitHub
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pyBEA
Python package for downloading data from the Bureau of Economic Analysis (BEA) data API.
Python · 71 stars
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horovod-gpu-data-science-project
Template repository for a Python 3-based data science project that uses Horovod.
Python · 43 stars
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numerical-methods
Graduate level course on numerical methods for economists
Jupyter Notebook · 39 stars
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dockercon-2021-demo
Example project template from my DockerCon 2021 talk
Shell · 38 stars
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introduction-to-deep-learning
Course materials for a multi-day course on deep learning.
Jupyter Notebook · 35 stars
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sfi-complexity-mooc
A Python-based course on Complexity Economics developed for the Santa Fe Institute (SFI).
Jupyter Notebook · 24 stars
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pyCollocation
Python package for solving initial value problems (IVP) and two-point boundary value problems (2PBVP).
Python · 16 stars
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tensorflow-gpu-data-science-project
Template repository for a Python 3-based (data) science project with GPU acceleration using the TensorFlow ecosystem.
Shell · 12 stars
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stochastic-expatriate-descent
An expat scientist's musings about machine learning, deep learning, and living abroad.
Jupyter Notebook · 6 stars
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penn-world-tables
Python module for generating the Penn World Tables data set.
Python · 5 stars
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junctionx-kaust-2019
Forecasting Solar Power for NEOM
Jupyter Notebook · 5 stars
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evolution-of-social-behavior
Model of the co-evolution by natural selection of an individually costly cooperative behavior trait together with a preference for social...
Jupyter Notebook · 5 stars
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assortative-matching-large-firms
Code for solving Eeckhout and Kircher model of assortative matching between heterogenous firms and workers.
Python · 3 stars
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Python · 1 star
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Python · 0 stars
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pyAM
Python package for solving assortative matching models with two-sided heterogeneity.
Python · 0 stars
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Python · 0 stars
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davidrpugh/us-banking-sector#1 · 3 comments · 0 reactions · 0 assignees ·
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davidrpugh/us-banking-sector#2 · 0 comments · 0 reactions · 0 assignees ·
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TODO list Open
davidrpugh/wealth-of-cities#4 · 0 comments · 0 reactions · 0 assignees ·
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enhancement
davidrpugh/wealth-of-cities#12 · 0 comments · 0 reactions · 1 assignee ·
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enhancement
davidrpugh/wealth-of-cities#14 · 0 comments · 0 reactions · 0 assignees ·
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davidrpugh/wealth-of-cities#15 · 0 comments · 0 reactions · 0 assignees ·
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enhancement
davidrpugh/wealth-of-cities#16 · 2 comments · 0 reactions · 1 assignee ·
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enhancement
davidrpugh/wealth-of-cities#20 · 1 comment · 0 reactions · 1 assignee ·
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Comparative statics Open
davidrpugh/wealth-of-cities#23 · 0 comments · 0 reactions · 0 assignees ·
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davidrpugh/wealth-of-cities#24 · 0 comments · 0 reactions · 0 assignees ·
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Add shooting solver. Openenhancement
davidrpugh/pyAM#2 · 0 comments · 0 reactions · 1 assignee ·
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enhancement
davidrpugh/pyAM#6 · 16 comments · 0 reactions · 1 assignee ·
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enhancement
davidrpugh/pyAM#11 · 1 comment · 0 reactions · 1 assignee ·
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davidrpugh/pyAM#16 · 0 comments · 0 reactions · 0 assignees ·
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davidrpugh/pyAM#17 · 4 comments · 0 reactions · 0 assignees ·
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davidrpugh/pyAM#18 · 0 comments · 0 reactions · 0 assignees ·
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davidrpugh/pyAM#19 · 0 comments · 0 reactions · 0 assignees ·
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davidrpugh/pyAM#20 · 0 comments · 0 reactions · 0 assignees ·
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enhancement help wanted
davidrpugh/population-ecology-approach#1 · 5 comments · 0 reactions · 0 assignees ·
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enhancement help wanted
davidrpugh/population-ecology-approach#2 · 5 comments · 0 reactions · 0 assignees ·
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Regions of stability Openenhancement help wanted
davidrpugh/population-ecology-approach#7 · 0 comments · 0 reactions · 0 assignees ·
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davidrpugh/population-ecology-approach#10 · 1 comment · 0 reactions · 0 assignees ·
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enhancement
davidrpugh/population-ecology-approach#14 · 1 comment · 0 reactions · 0 assignees ·
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enhancement
davidrpugh/population-ecology-approach#35 · 1 comment · 0 reactions · 1 assignee ·
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Comparative statics Openenhancement
davidrpugh/population-ecology-approach#44 · 3 comments · 0 reactions · 0 assignees ·
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enhancement
davidrpugh/population-ecology-approach#45 · 0 comments · 0 reactions · 1 assignee ·
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enhancement high-priority
davidrpugh/assortative-matching-large-firms#7 · 1 comment · 0 reactions · 1 assignee ·
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davidrpugh/assortative-matching-large-firms#11 · 1 comment · 0 reactions · 1 assignee ·
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Data grab Openenhancement help wanted question
davidrpugh/assortative-matching-large-firms#13 · 0 comments · 0 reactions · 0 assignees ·
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Estimation code Openhelp wanted question
davidrpugh/assortative-matching-large-firms#14 · 3 comments · 0 reactions · 0 assignees ·
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enhancement
davidrpugh/assortative-matching-large-firms#17 · 0 comments · 0 reactions · 1 assignee ·
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high-priority
davidrpugh/assortative-matching-large-firms#19 · 1 comment · 0 reactions · 1 assignee ·
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help wanted question
davidrpugh/assortative-matching-large-firms#20 · 3 comments · 0 reactions · 0 assignees ·
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enhancement
davidrpugh/pyCollocation#1 · 0 comments · 0 reactions · 1 assignee ·
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davidrpugh/pyCollocation#11 · 0 comments · 0 reactions · 1 assignee ·
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enhancement
davidrpugh/pyCollocation#15 · 0 comments · 0 reactions · 1 assignee ·
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enhancement
davidrpugh/pyCollocation#23 · 0 comments · 0 reactions · 1 assignee ·
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enhancement
davidrpugh/pyCollocation#40 · 0 comments · 0 reactions · 1 assignee ·
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enhancement
davidrpugh/pyCollocation#42 · 0 comments · 0 reactions · 0 assignees ·
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davidrpugh/pyCollocation#45 · 0 comments · 0 reactions · 0 assignees ·
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davidrpugh/pyCollocation#46 · 7 comments · 0 reactions · 0 assignees ·
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davidrpugh/sfi-complexity-mooc#3 · 7 comments · 0 reactions · 0 assignees ·
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davidrpugh/sfi-complexity-mooc#5 · 1 comment · 0 reactions · 0 assignees ·
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davidrpugh/sfi-complexity-mooc#6 · 1 comment · 0 reactions · 0 assignees ·
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davidrpugh/sfi-complexity-mooc#7 · 0 comments · 0 reactions · 0 assignees ·
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Where is lecture 7? Open
davidrpugh/sfi-complexity-mooc#8 · 0 comments · 0 reactions · 0 assignees ·
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davidrpugh/sfi-complexity-mooc#9 · 0 comments · 0 reactions · 0 assignees ·
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davidrpugh/sfi-complexity-mooc#10 · 0 comments · 0 reactions · 0 assignees ·
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davidrpugh/sfi-complexity-mooc#11 · 0 comments · 0 reactions · 0 assignees ·
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davidrpugh/sfi-complexity-mooc#12 · 0 comments · 0 reactions · 0 assignees ·