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adv-r

Advanced R programming: a book

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-python

A curated list of awesome Python frameworks, libraries and software

bayeslmmtutorial

Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html

bmem

convenience and plotting function working with rstan mixed effects objects

bokeh

Interactive Web Plotting for Python

coursera_analytics

cs231n.github.io

Public facing notes page

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

dive-into-machine-learning

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

easytensorflow

This package provides users with methods for the automated building, training, and testing of complex neural networks using Google's Tensorflow module. The project includes objects that perform both regression and classification tasks.

example-models

Example models for Stan

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

frequentism-and-bayesianism-jvdp

ggplot

ggplot for python

gitignore

A collection of useful .gitignore templates

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

ibis

Big data the Pythonic way. Productivity-centric Python data analysis framework for Analytic SQL and Hadoop, with high performance extensions for Impala. Co-founded by the creator of pandas

impyla

Python DB API 2.0 client for Impala and Hive (HiveServer2 protocol)

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kruschke-doing_bayesian_data_analysis

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

logstash

logstash - transport and process your logs, events, or other data

mongo-hadoop

MongoDB Connector for Hadoop

mongo-python-driver

PyMongo - the Python driver for MongoDB

neural-network-papers