mtlc Goto Github PK

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

bnt

Bayes Net Toolbox for Matlab

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

causaleffect

:exclamation: This is a read-only mirror of the CRAN R package repository. causaleffect — Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models

causality

Tools for causal analysis

coursera-data-ml

crf

R package for Conditional Random Fields

dbda2estan

Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

diveintopython3

[Mirror] Dive Into Python 3 online book

golf

This repository contains Stan implementation of A Probability Model for Golf Putting by Gelman and Nolan discussed in this paper: http://stat.columbia.edu/~gelman/research/published/golf.pdf

grid

GSOD(R) Interpolated Data

gsoc2017

R project in Google Summer of Code 2017

hello-world

github tutorial from https://guides.github.com/activities/hello-world/

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

knitr-examples

a collection of knitr examples

kod

My personal code

kruschke-doing_bayesian_data_analysis

John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS

lstm-time-series-analysis

Using LSTM network for time series forecasting

lstm_example

Use an LSTM to predict a sine wave with noise added.

meetups

Presentations from meetups and conferences

mtlc.github.io

networkx

Official NetworkX source code repository.

notebooks

pml_project

Coursera Practical Machine Learning course project

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pydata_keras_talk

rforeveryone

For working through the book 'R for Everyone' from Jared P. Lander

statistical-rethinking

Notebooks containing R code from Richard McElreath's Statistical Rethinking