anhnguyendepocen Goto Github PK

agec317

agentmodels.org

Modeling agents with probabilistic programs

aha2019-graphics-r

Materials from our 2019 American Historical Association (AHA) workshop

ahda-sample-text

Material for AHDA 2019

ahm_code

Code from the book 'Applied Hierarchical Modeling in Ecology'

ahmbook

Functions for the book 'Applied Hierarchical Modeling in Ecology'

ahmnimble

Examples from Kéry & Royle's "Applied Hierarchical Modeling in Ecology (Volume I)" converted to NIMBLE

ai-blog

Repository for the RStudio AI Blog (formerly: TensorFlow for R Blog)

ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

ai-projects

Artificial Intelligence projects, documentation and code.

ai4all-computervision-solns

ai_notes

machine learning/artificial intelligence notes

aims

AIMS South Africa Short Course on Optimization

air-quality-machine-learning

Using machine learning to recover air quality data from remote sensing datasets

ait722

Course materials for AIT722: Theories and Models in Geo-Social Data Analytics

aitoa

An Introduction to Optimization Algorithms

algebra-calculus-r-yacas

Use algebra and calculus with R and yacas

all-modules-archive

all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

all-of-statistics-1

Solutions to Wasserman's 'All of Statistics'.

all-stats-and-ds-on-iris

A collection of ALL POSSIBLE statistical and data science models on the iris data set in R. Let us make a comparision between ALL invented approaches to crunch the data!

all-that-likelihood-with-pymc3

all_of_statistics_exercises

Computer exercises from Larry Wasserman's "All of Statistics"

all_of_statistics_solns

Some worked exercises from Larry Wasserman's "All of Statistics"

alsm

R package for Kutner et al. 5th ed. Applied Linear Statistical Models

alta

The Art of Literary Text Analysis

am9--microsimulation-modeling-in-r

"Microsimulation Modeling in R " is a short course on Sunday October 20, 2019 and is part of the Annual SMDM Meeting being held October 20, 2019 through October 23, 2019 at the DoubleTree by Hilton Portland Hotel in Portland, Oregon, USA.

amada

amazon_global_economy

Materials for NYU's Global Economy course text: LaTeX files, Stata code for figures, etc. All in one place.

amcm

My own code from Advanced Monte Carlo Methods course