Natural Language Processing

Unsupervised technique to Glossary and Definition Extraction

Automatic-Glossary-Generation The projects lets you extract glossary words and their definitions from a given piece of text automatically using NLP techniques Code Files GPT2-DefinitionModel.ipynb – GPT-2 model for definition generation. Data_Generator.ipynb – Data Scraper from GoodReads and GradeSaver Definition_Extraction.ipynb – WordNet model for definition generation. Glossary_Extraction.ipynb – Chinking strategy pipeline for selection of glossary terms. GitHub https://github.com/prakhar21/Automatic-Glossary-Generation    

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Python

Stacks and Queues: 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 three types of data structures: stacks, queues, and priority queues. There are multiple types and classes for all of these data structures and […]

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Color

Implementation of GGB color space with python

GGB Color Space This script is implementation of GGB color space from Development of a Robust Algorithm for Detection of Nuclei and Classification of White Blood Cells in Peripheral Blood Smear Image Dependencies $ sudo pip install -r requirements.txt How to Use $ python ggb.py –input Result Leukocytes Fundus Car GitHub https://github.com/reshalfahsi/ggb    

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Video

Create videos quickly and easily by simply typing out the video’s script with python

Text2Video Text2Video’s purpose is to help people create videos quickly and easily by simply typing out the video’s script and a description of images to include in the video. Usage Just upload a script and an optional audio file of you saying the script To start the server run this in the terminal docker start gentle python app.py To stop the server open the same terminal and press CTRL-C. After that run docker stop gentle For instructions on how to […]

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Video

A High-Performance Video Processing Python Library

VidGear VidGear is a High-Performance Video Processing Python Library that provides an easy-to-use, highly extensible, thoroughly optimised Multi-Threaded + Asyncio Framework on top of many state-of-the-art specialized libraries like OpenCV, FFmpeg, ZeroMQ, picamera, starlette, streamlink, pafy, pyscreenshot, aiortc and python-mss serving at its backend, and enable us to flexibly exploit their internal parameters and methods, while silently delivering robust error-handling and real-time performance fire VidGear primarily focuses on simplicity, and thereby lets programmers and software developers to easily integrate and […]

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Formula

Formulas for mixed-effects models in Python

formulae formulae is a Python library that implements Wilkinson’s formulas for mixed-effects models. The main difference with other implementations like Patsy or formulaic is that formulae can work with formulas describing a model with both common and group specific effects (a.k.a. fixed and random effects, respectively). This package has been written to make it easier to specify models with group effects in Bambi, a package that makes it easy to work with Bayesian GLMMs in Python, but it could be […]

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Python

Recursion in Python: An Introduction

If you’re familiar with functions in Python, then you know that it’s quite common for one function to call another. In Python, it’s also possible for a function to call itself! A function that calls itself is said to be recursive, and the technique of employing a recursive function is called recursion. It may seem peculiar for a function to call itself, but many types of programming problems are best expressed recursively. When you bump up against such a problem, […]

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Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 78: Multilingual Hate Speech Detection

This week I will comment on a preprint Cross-lingual hate speech detection based on multilingual domain-specific word embeddings by authors from the University of Chile. The pre-print evaluates the possibility of cross-lingual transfer of models for hate speech detection, i.e., training a model in one language and testing it in a different language. Hate speech detection is a particularly tough task for model transfer because many of the words have a different meaning or at least different connotations when used […]

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Machine Learning

Mind Visual Tokens for Vision Transformer

So-ViT This repository contains the source code under PyTorch framework and models trained on ImageNet-1K dataset for the following paper: @articles{So-ViT, author = {Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li}, title = {So-ViT: Mind Visual Tokens for Vision Transformer}, booktitle = {arXiv:2104.10935}, year = {2021} } The Vision Transformer (ViT) heavily depends on pretraining using ultra large-scale datasets (e.g. ImageNet-21K or JFT-300M) to achieve high performance, while significantly underperforming on ImageNet-1K if trained from scratch. We propose […]

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