NLP, Testing

Testbed of AI Systems Quality Management

qunomon A testbed for testing and managing AI system qualities. Requirement Installation prerequisites Support os is Windows10 Pro and macOS. Windows10 Pro 1909 later macOS v10.15 later Installation Usage 1.launch Execute the following command as root of this repository. docker-compose up 2.access web browser http://127.0.0.1:8888/ Development for windows Installation 1.PackageManager Launch powershell with administrator permission. powershell Set-ExecutionPolicy Bypass -Scope Process -Force; iex ((New-Object System.Net.WebClient).DownloadString(‘https://chocolatey.org/install.ps1’)) 2.Python Setup python virtual environment for Backend 1.go to the source you checked out and create […]

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NLP, Video

Python application that can be used to generate video thumbnail for mp4

Thumbnail Generator This is a Python application that can be used to generate video thumbnail for mp4 and mkv file types. Installation You can use pip: ~$ pip3 install thumb-gen Configurations (These may change during the update) The number of screen images that should be included in the final thumbnail image Thumbnail image quality Font type in the video info panel. You can add a file path of a font file (.ttf) to this Font size in the video info […]

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Bilingual and Monolingual dictionaries, NLP

Issue #123 – Integrating dictionaries to improve Neural MT

25 Mar21 Issue #123 – Integrating dictionaries to improve Neural MT Author: Dr. Jingyi Han, Machine Translation Scientist @ Iconic Introduction How to integrate external knowledge into Neural Machine Translation (NMT) properly has always been an attractive topic for both industrial practice and academic research. It can be very useful for domain adaptation and human references integration. There have been some approaches that try to incorporate bilingual dictionaries into NMT: Qi et al. (2018) and Hamalainen and Alnajjar (2019) extended […]

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python_tutorials
Python

How to Print Colored Text in Python

Introduction It’s typical for CLI apps to return text in the same color of the terminal. There are always cases when we want to highlight output to the user, for example, a warning or error message. In those cases, a dash of color could make a difference. This article shows you how to print colored output in the terminal in Python with and without libraries. ANSI Escape Sequences Your Teletypewriter (TTY), or rather your terminal, is not only capable of […]

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python_tutorials
Python

Parse Datetime Strings with parsedatetime in Python

Introduction In this tutorial, we’ll take a look at how to parse Datetime with parsedatetime in Python. To use the parsedatetime package we first need to install it using pip: $ pip install parsedatetime Should pip install parsedatetime fail, the package is also opensource available on Github. Convert String to Python’s Datetime Object with parsedatetime The first, and most common way to use parsedatetime is to parse a string into a datetime object. First, you’ll want to import the parsedatetime […]

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Python

Python Community Interview With Dane Hillard

Today I’m joined by Dane Hillard, lead web application developer at ITHAKA and author of Practices of the Python Pro. Dane is also a Real Python tutorial author. In this interview, we discuss a variety of topics, including code complexity, Python package maintenance, and popcorn. So without further ado, let’s welcome Dane. Ricky: Thanks for joining me for this interview, Dane. I’d like to start in the same manner we do with all our guests: how did you get into programming, […]

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Advanced, NLP, Videos

Parts of Speech Tag and Dependency Grammer

Objective Parts of speech tagging and dependency parsing are widely used techniques in text processing. Understand parts of speech tags and grammars with their respective use cases in Natural language processing Introduction Natural language processing is a branch of machine learning that deals with how machines understand human languages. Text data is a widely available problem domain for NLP tasks. In order to work with text data, it is important to transform the raw text into a form that can […]

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NLP

Elvis’s Blog

Hi, It’s Elvis here! I regularly talk, write, and tweet about data science and machine learning related topics. However, there are other interests that I would love to share through this blog including tips on writing, presenting, researching, coding, learning, etc. Specific interests range from linguistics to education to product design. I work and collaborate on a lot of different projects involving different types of technologies. I would love to share more of that in this new blog. If you […]

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Python

Records and Sets: Selecting the Ideal Data Structure

There are a variety of ways for storing and managing data in your program and the choice of the right data structure has an effect on the readability of your code, ease of writing, and performance. Python has a wide selection of built-in mechanisms that meet most of your data structure needs. This course introduces you to two types of data structures: data records and sets. There are multiple types and classes for both of these data structures and this […]

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Advanced, NLP, Unsupervised, Videos

Tokenization and Text Normalization

Objective Text data is a type of unstructured data used in natural language processing. Understand how to preprocess the text data before feeding it to the machine learning algorithms. Introduction Text data is a form of unstructured data. The most prominent examples of text data available on the internet are social media data like tweets, posts, comments, or the Conversation data such as messages, emails, Chats. Also, it can be article data like news articles, blogs, etc. Note: If you […]

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