snazz2001 Goto Github PK

ggvis

Interactive grammar of graphics for R

gitinpractice

give-me-some-credit

Prediction Problem - Predict the probability that somebody will experience financial distress in the next two years. Goal - Use the outputted value by the model and convert it to a FICO style score.

gnip-trend-detection

go

The Open Source Data Science Masters

go-sgd

Stochastic Gradient Descent (SGD) for golang

googlescraper

A Python module to scrape several search engines (like Google, Yandex, Bing, Duckduckgo, Baidu and others) by using proxies (socks4/5, http proxy) and with many different IP's, including asynchronous networking support (very fast).

gpbo

gpbo

graphvizanim

A tool to create animated graph visualizations, based on graphviz.

greykite

A flexible, intuitive and fast forecasting library

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

guided-evolutionary-strategies

Guided Evolutionary Strategies

gun-sales

Statistical analysis of monthly background checks of gun purchases

h2o

h2o = fast statistical, machine learning & math runtime for bigdata

h2o-tutorials

Tutorials and training material

h2o4gpu

H2Oai GPU Edition

h2o_tutorials

Slides and code examples for H2O tutorials at various events

hands-on-reactive-programming-with-python-video-

Hands-On Reactive Programming with Python [video], published by Packt

headlines

Automatically generate headlines to short articles

hebel

GPU-Accelerated Deep Learning Library in Python

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

hol-azure-machine-learning

Introduction to Machine Learning and Azure Machine Learning Services. Hands on labs to show Azure Machine Learning features, developing experiments, feature engineering, R and Python Scripting, Production stage, publishing models as web service, RRS and BES usage

htmlwidgets

HTML Widgets for R

ibis-notebooks

IPython notebooks and learning materials for Ibis

identity-mapping-resnet-lasagne

Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'

iepy

Information Extraction framework in Python

image-outpainting

Keras Implementation of Painting outside the box

incubator-spark

Mirror of Apache Spark

interpret

Fit interpretable models. Explain blackbox machine learning.

interpretable_machine_learning_with_python

Practical techniques for interpreting machine learning models.