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Excerpt from the Gapminder data, as an R data package and in plain text delimited form
Website for Psyc 3400 Statistics @ Brooklyn College (Taught by Matt Crump)
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Python Implementation of Reinforcement Learning: An Introduction
A collection of user models and parameter estimation methods.
Accelerating learning through machine-generated flashcards.
Chrome highlighter that quickly and easily puts your highlights into Roam format for easy pasting into your notes.
mhtess / webppl-oed
Forked from lydaniel/oedOptimal Experiment Design for WebPPL models
Resources, links, projects, and ideas for gardeners tending their digital notes on the public interwebs
A curated list of https://roamresearch.com/ resources
PRML algorithms implemented in Python
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
This chrome extension provides the ability to create Anki cards directly from Google Chrome on your Anki Desktop.
Collection of jupyter notebooks for demonstrating software.
Bayesian Data Analysis course at Aalto
R package: Methods that Apply to Rows and Columns of Matrices (and to Vectors)
GPstuff - Gaussian process models for Bayesian analysis
Companion webpage to the book "Mathematics For Machine Learning"
Learn how to design, develop, deploy and iterate on production-grade ML applications.
These are cheat sheets and notes I made as part of an MSc in Statistics, at the University of Sheffield, UK.
This Anki addon can import .mht files exported from OneNote
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Notes and exercise attempts for "An Introduction to Statistical Learning"