Notebook Gallery

Links to the best IPython and Jupyter Notebooks.

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This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

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Rough plots of Stokes graphs

Rough plots of Stokes graphs

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TaylorIntegration.jl

TaylorIntegration.jl

Taylor's method provides a high accuracy method for the integration of initial value problems.

Wine2Vec Exploration

Wine2Vec Exploration

The dataset can be found on Kaggle or you can run my sraper on Github .

An introduction to time series forecasting with PyAF

An introduction to time series forecasting with PyAF

The main problem to be solved with a forecasting tool is to predict the future values of a quantity of interest called 'Signal' over a period of time called 'Horizon' (predict the shop sales over next 7 days).

Captioning Model(s)

Captioning Model(s)

Here, the caption input is the result of one of the embedding classes above (batched up), so has some useful properties. The features input is just the features created by the InceptionV3 featurisation already loaded (batched up).

Modeling and Simulation in Python

Modeling and Simulation in Python

Copyright 2017 Allen Downey

Understanding "The use of multiple measurements in taxonomic problems" written by R. A. Fisher (1936)

Understanding "The use of multiple measurements in taxonomic problems" written by R. A. Fisher (1936)

We're going to use these Python libraries:

Increasing

Increasing

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Deep Learning for Predictive Maintenance

Deep Learning for Predictive Maintenance

This notebook serves as a tutorial for beginners looking to apply deep learning in predictive maintenance domain and uses a simple scenario where only one data source (sensor values) is used to make predictions. In more advanced predictive maintenance scenarios ...

This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

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Ein Twitter-Bot für Parteispenden: @grossspenden

Ein Twitter-Bot für Parteispenden: @grossspenden

Großspenden, die eine Höhe von 50.000 Euro überschreiten, müssen die Parteien umgehend dem Bundestagspräsidenten anzeigen. Sie werden dann auf bundestag.de veröffentlicht. Dieser Scraper beobachtet die Seite und twittert, wenn eine neue Parteispende bekannt gegeben wird.

Load Data

Load Data

Data is from ggplot2 .

Machine Learning

Machine Learning

This website does not host notebooks, it only renders notebooks available on other websites.

Storing an Image Dataset for Minibatch Training using HDF5

Storing an Image Dataset for Minibatch Training using HDF5

Other code examples and content are available on GitHub . The PDF and ebook versions of the book are available through Leanpub .

7.1. Explore a dataset with Pandas and matplotlib

7.1. Explore a dataset with Pandas and matplotlib

The loaded data is a DataFrame , a 2D tabular data where each row is an observation, and each column is a variable. We can have a first look at this dataset by just displaying it in the IPython notebook.

Modeling and Simulation in Python

Modeling and Simulation in Python

Copyright 2017 Allen Downey

The Data

The Data

For this analysis, we're using the index of dissimilarity to measure segregation. Because we're particularly interested in segregation between black residents (people who identify as "Black or African American" as their only race) and white residents (people who identify only ...

Version control for fun and profit:

Version control for fun and profit:

For an excellent list of Git resources for scientists, see Fernando's Page .

This talk is about

This talk is about

Installing software and downloading datasets (3 hours)

ニューラルネットワークの学習

ニューラルネットワークの学習

E = - sum(t, log(y))

Exploratory Data Analysis

Exploratory Data Analysis

using matplotlib.pyplot.boxplot:

The Unique Features and Performance of DifferentialEquations.jl

The Unique Features and Performance of DifferentialEquations.jl

This notebook investigates a somewhat mysterious data set that we have been handed. The question is if this data set ...

This notebook investigates a somewhat mysterious data set that we have been handed. The question is if this data set ...

The data set we will investigate can be found on GitHub. We can download it into a Pandas Data Frame in our Python Notebook Kernel.

This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

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...

...

No GPU used b/c of book standards and can't access it on this Key...

Practical PyTorch: Playing GridWorld with Reinforcement Learning (Policy Gradients with REINFORCE)

Practical PyTorch: Playing GridWorld with Reinforcement Learning (Policy Gradients with REINFORCE)

Training uses policy gradients via the REINFORCE algorithm and a simplified Actor-Critic method. A single network calculates both a policy to choose the next action (the actor) and an estimated value of the current state (the critic). Rewards are propagated ...

Python Data Science Handbook

Python Data Science Handbook

This is the Jupyter notebook version of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub .* The text is released under the CC-BY-NC-ND license , and code is released under the MIT license . ...

Recomendación de Información basada en Análisis de Redes Sociales y Procesamiento de Lenguaje Natural

Recomendación de Información basada en Análisis de Redes Sociales y Procesamiento de Lenguaje Natural

Herramientas

Ref: Autoencoding Variational Inference for Topic Models . In ICLR . 2017.

Ref: Autoencoding Variational Inference for Topic Models . In ICLR . 2017.

This website does not host notebooks, it only renders notebooks available on other websites.