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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

analyzing-the-new-york-subway-dataset

bane

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

blueprints-text

Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

create-your-own-adventure

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

data-wrangle-openstreetmaps-data

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

deepar

Tensorflow implementation of Amazon DeepAR

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

demography

demography package for R

dlaicourse

Notebooks for learning deep learning

drsa

Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper.

esrnn-gpu

PyTorch GPU implementation of the ES-RNN model for time series forecasting

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

google-research

Google Research

h2o-2

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

h2o-3

Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

healthcare_twitter_analysis

Healthcare Twitter Analysis Initial Files

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

market_by_party

matrixprofile

A Python 2 and 3 library making time series data mining tasks utilizing matrix profile algorithms accessible to everyone.

models

Models and examples built with TensorFlow