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spark-notebook

Use Apache Spark straight from the Browser

spark-tdd-example

Test driven development example

spark_test

Testing in Spark Sample

sparkstreamingapps

A spark sbt blueprint to build your own spark apps off of.

spatial-data-with-r

Materials for my lecture on Spatial Data Analysis with R

sphinx-example

Example and cheat sheet for the Sphinx Python documentation generator.

sphinx-tutorial

Exercises for the Sphinx Tutorial that I often give at PyCon

stan-statespace

Stan models for state space time series

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

statlearning-notebooks

Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).

statsmodels

Statsmodels: statistical modeling and econometrics in Python

stock_movement_prediction

Prediction of stock market using high-frequency data

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

synthetic_control

synthetic control using count data

temporal_fusion_transformer_pytorch

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-tutorials

Simple tutorials using Google's TensorFlow Framework

tensorflow-tutorials-1

TensorFlow Tutorials with YouTube Videos

tensorflow-tutorials-for-time-series

TensorFlow Tutorial for Time Series Prediction

tensorpack

Neural Network Toolbox on TensorFlow

tf-stanford-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

tffm

TensorFlow implementation of an arbitrary order Factorization Machine

tfmyvalentine-cotw

Speed-dating match prediction based on Anna Montoya's Speed Dating Experiment Datasets

theano-tutorial

A collection of tutorials on neural networks, using Theano

theano-tutorial-1

Reslab Theano tutorial (10 February 2015)

theano-tutorials

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

timeseers

Time should be taken seer-iously

tmleworkshop

Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.

toy-autonomous-car

toy-autonomous-car