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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

bayesrl

Code to fit Bayesian versions of simple reinforcement learning models

biclustering-ssvd

Implementation of the sparse singular value decomposition algorithm (Lee et al., 2010) to be used for Biclustering; Duke STA663 Final Project

changepickleprotocol

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

datascientista_analysistutorial

Uses American Time Use Survey data to test the hypothesis that the covid-19 pandemic had different effects on how men and women spend their time. Data Analysis and regression tutorial.

estimateapp

Multi-platform app built in Kivy to be used for creating list of materials for plumbing jobs. Collaboration with Edward Paul.

hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

hoff-bayesian-statistics

R Markdown lecture notes and code samples for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"

hopfield-demo

Demonstration of Hopfield networks for DIBS Bootcamp 2020

krm58.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

meetupdata

Command-line Python access to Meetup.com data via its API, fetching data as CSV or JSON.

modern-bayes

penaltyshot_behavior

Repository for analysis code used in the Penalty Shot task, published in Nature Communications.

reinforcement-learning-models

Various computational models for reinforcement learning

valencemetaanalysis

R meta-analysis code for valence framing on moral dilemmas project