Notebook Gallery

Links to the best IPython and Jupyter Notebooks.

Loading web page ...

Batman, ecuaciones y python

Batman, ecuaciones y python

Batman siempre fue mi superhéroe favorito porque es uno de los pocos héroes que no posee ningún superpoder, sino que debe recurrir a su intelecto y a la ciencia para construir las bati-herramientas que utiliza para combatir al crimen. Además ...

A note on Schultz

A note on Schultz

In Schultz1959 ( https://doi.org/10.1103%2Fphysrev.116.526 ), a Feynman polaron radius is defined from the Gaussian form of the Simple Harmonic Oscillator specified by the Feynman solution to the polaron problem.

Introduction to Pandas

Introduction to Pandas

Licensed under CC BY 4.0 Creative Commons

Time series prediction using RNNs, with TensorFlow

Time series prediction using RNNs, with TensorFlow

This notebook was modified based on the work originally published by VALLIAPPA LAKSHMANAN.

cf. stackoverflow, measure runtime of a Jupyter Notebook code cell

cf. stackoverflow, measure runtime of a Jupyter Notebook code cell

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

The data is collected from - here

The data is collected from - here

We define some functions that we are going to use to prepare our data. Make a note there is absolutely no feature engineering going on here apart from numeratizing some text values.

Experiments with Memory Access and Matrices

Experiments with Memory Access and Matrices

In this notebook, we'll explore these performance issues with a few typical matrix algorithms, implemented in Julia.

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

Lecture 1: Boxes and Registers

Lecture 1: Boxes and Registers

The basic goal of this lecture is to understand why some code (in some languages and/or styles of coding) is slow while other code is fast, based on whether it can be compiled to efficiently use the CPU registers and ...

The data is collected from - here

The data is collected from - here

We define some functions that we are going to use to prepare our data. Make a note there is absolutely no feature engineering going on here apart from numeratizing some text values.

A minimal Char RNN using TensorFlow

A minimal Char RNN using TensorFlow

Decoding is based on this code from Sherjil Ozair

All the Linear Algebra You Need for AI

All the Linear Algebra You Need for AI

Matrix multiplication is a way of combining two matrices (involving multiplying and summing their entries in a particular way). Broadcasting refers to how libraries such as Numpy and PyTorch can perform operations on matrices/vectors with mismatched dimensions (in particular cases, ...

Implementing REINFORCE from scratch

Implementing REINFORCE from scratch

We'll try to avoid getting stuck in too much theory; there are plenty of excellent resources out there:

Creating pie and donut pie charts with Matplotlib in Python

Creating pie and donut pie charts with Matplotlib in Python

Pie charts may be out of style but business users like them. They convey information in a fast, familiar format. When used properly they can be very effective in highlighting the information they intend to convey.

The decorators they won't tell you about

The decorators they won't tell you about

If you fit in the latter category, you'll almost necessarily have had spouted reassuringly at you: "Decorators are simple, they're just functions that take functions and return other functions!" You'll have seen a blog post that taught you how to ...

The Cyborg class

The Cyborg class

This is our class, and we want to log the calls to every method.

Code is good, and good reproducible code is better!

Code is good, and good reproducible code is better!

See the discussions on this lesson on github .

Scraping Images from Google Street View

Scraping Images from Google Street View

Columbia University, Fall 2017

The decorators they won't tell you about

The decorators they won't tell you about

If you fit in the latter category, you'll almost necessarily have had spouted reassuringly at you: "Decorators are simple, they're just functions that take functions and return other functions!" You'll have seen a blog post that taught you how to ...

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

Delhi Pollution all stations 2015

Delhi Pollution all stations 2015

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

The effects of adversarial training in voice conversion

The effects of adversarial training in voice conversion

Code: https://github.com/r9y9/gantts

Life expectancy and wealth

Life expectancy and wealth

You learned to do exploratory data analysis with data in the form of arrays: NumPy has built-in functions for many descriptive statistics, making it easy! And you also learned to make data visualizations that are both good-looking and effective in ...

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

How to Deploy a Tensorflow Model in Production

How to Deploy a Tensorflow Model in Production

but how do we deploy them for production use?

1. Creating a Tensor

1. Creating a Tensor

In this tutorial we will show how to manipulate tensors as NDArrays, and write from scratch functions to manipulate these as defined in TensorLy .

CoCalc编程环境

CoCalc编程环境

点击 Run CoCalc

Azure Cognitive Services API

Azure Cognitive Services API

For this case study, we'll only be using the Face Detection with Attributes functionality, but I encourage you to investigate the APIs and tutorials for Face Detection , as well. You can find them here .

Generated by Cython 0.25.2

Generated by Cython 0.25.2

Yellow lines hint at Python interaction. Click on a line that starts with a " + " to see the C code that Cython generated for it.