Notebook Gallery

Links to the best IPython and Jupyter Notebooks.

Loading web page ...

CNTK 206: Basic GAN with MNIST data

CNTK 206: Basic GAN with MNIST data

Generative models have gained a lot of attention in deep learning community which has traditionally leveraged discriminative models for (semi-supervised) and unsupervised learning. In generative modeling, the idea is to collect a huge amount of data in a domain of ...

Maximum Likelihood Estimation for Statistical Pattern Classification

Maximum Likelihood Estimation for Statistical Pattern Classification

Link to this IPython Notebook on GitHub

Data preparation

Data preparation

Stats for selected topic:

What is a Counter?

What is a Counter?

Operations with Counters are like playing with sets in Venn Diagram. In order to use a Counter you should import the collections library.

Using functional programming in Python like a boss: Generators, Iterators and Decorators

Using functional programming in Python like a boss: Generators, Iterators and Decorators

When you write:

It's metaclasses all the way down:

It's metaclasses all the way down:

Well, usually you don't.

This is an example of using topic modeling to look at the Public Archive of Police Violence in Cleveland transcripts. ...

This is an example of using topic modeling to look at the Public Archive of Police Violence in Cleveland transcripts. ...

First let's convert the transcripts from docx files to text files so we can easily read them in. This assumes that pandoc is installed and that the transcripts are located in a directory called transcripts.

One of the big breakthroughs with deep learning has been increased accuracy in identifying people across a large collection of ...

One of the big breakthroughs with deep learning has been increased accuracy in identifying people across a large collection of ...

To get to that level of accuracy, there are a few independent steps. First we have to find the faces in the image (face detection), then identify the exact center and orientation of the face (landmark detection), and then we ...

Anecdotes autours des prénoms

Anecdotes autours des prénoms

Ce notebook étudie différentes questions sur les prénoms :

It's metaclasses all the way down:

It's metaclasses all the way down:

Well, usually you don't.

Analyzing data with Pandas

Analyzing data with Pandas

We will learn how to do the following:

Data from Cassini frame to a Saturn centered frame

Data from Cassini frame to a Saturn centered frame

This coordinate system is fixed relative to the Cassini spacecraft. It is therefore in constant motion as Cassini adjusts its pointing. The coordinate system is useful when comparing measurements between different instruments, especially when studying the pitch angle distributions of ...

Riding the wave

Riding the wave

Developing a conservation law for traffic in a one-lane roadway is fun, because we can relate to the insights it gives. We've all experienced traffic slowing down to a crawl when the density of cars gets very high, and stepping ...

Vertex coloring in networkX

Vertex coloring in networkX

The two things you need to know about real-world algorithms for vertex coloring are:

Exploritory Data Analysis

Exploritory Data Analysis

Using Baysian Change Point detection we found:

A Gentle introduction into Naive Bayes Classifier using SciKit-Learn

A Gentle introduction into Naive Bayes Classifier using SciKit-Learn

The formula reads as follows: The probability of A given B is the probability of B given A times to the ratio of the probabilities of A and B (Linoff and Berry, 2011:211)

Renormalización a cualquier año para datos de producción de la OCDE

Renormalización a cualquier año para datos de producción de la OCDE

Para cuando lo ejecutes en el Jupyter he añadido un control y botón para que elijas años y puedas añadir el gráfico que se genera al normalizar la producción a otro año diferente. Muestro unos cuantos gráficos de ejemplo.

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.

Delivered by Fastly , Rendered by Rackspace

Sentiment Symposium - Build a Sentiment Predictor in 5 Minutes in Python

Sentiment Symposium - Build a Sentiment Predictor in 5 Minutes in Python

The IPython Notebook - is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. Just like you see it now :)

IMDB Movie reviews sentiment classification - Keras (Backend: TensorFlow)

IMDB Movie reviews sentiment classification - Keras (Backend: TensorFlow)

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

It's metaclasses all the way down:

It's metaclasses all the way down:

Well, usually you don't.

Tarea No. 1 - Física II

Tarea No. 1 - Física II

El proyecto Jupyter , anteriormente conocido como el proyecto IPython, proporciona una colección de herramientas para la informática científica mediante eficaces shells interactivos que combinan la ejecución del código con la creación de documentos informáticos activos.

Datasets: Downloading Data from Google Trends

Datasets: Downloading Data from Google Trends

The default query terms are 'big data', 'data science' and 'machine learning'. The dictionary returned from the call contains the standard 'X' and 'y' keys that are ready to be used in the GPy toolkit as inputs to the Gaussian ...

Using functional programming in Python like a boss: Generators, Iterators and Decorators

Using functional programming in Python like a boss: Generators, Iterators and Decorators

When you write:

Riddle me this 1 - Stochastic simulation

Riddle me this 1 - Stochastic simulation

See riddle in here

Masage Data

Masage Data

The first graph we can take a look at is the distribution of earthquakes by time of day. As we can see below there appears to be a relativley equal distribution of earthquakes throughout each hour of the day.

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.

Delivered by Fastly , Rendered by Rackspace

A tutorial on 'Soft weight-sharing for Neural Network compression'

A tutorial on 'Soft weight-sharing for Neural Network compression'

Compressing a given neural network is a challenging task. While the idea of storing weights with low precision has been around for some time, ideas to store the weight matrix in a different storage format are recent. The latter proposal ...

A Date with Deep Learning

A Date with Deep Learning

Fetch a random set of styleids, and download the corresponding product images. A dataset of just 2000 images is good enough for this usecase.

Using functional programming in Python like a boss: Generators, Iterators and Decorators

Using functional programming in Python like a boss: Generators, Iterators and Decorators

When you write: