A Python framework for building and Integrating Web App

sierra A lightweight Python framework for building and Integrating Web Applications. Sierra is a Python3 library for building and integrating web applications with HTML and CSS using simple enough syntax. You can develop your web applications purely in Python, taking advantage of its functionalities and integrating them to the fullest. The idea is to be able to develop a web application purely in Python, and with Flask and other frameworks, this might be a reality. Installation Method 1: pip install […]

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Must Know Data Pre-processing Techniques for Natural Language Processing!

This article was published as a part of the Data Science Blogathon Introduction Data from the internet forms a huge source of information these days. We have an overwhelming amount of data available, which includes text, audio, and videos. Text information forms a major source of information amongst these. Natural language processing includes the task of analyzing, modifying, and deriving conclusions from text data. These text or speech data are completely unstructured and messy. A great amount of effort is required […]

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Can Python understand human feelings through words? – A brief intro to NLP and VADER Sentiment Analysis

This article was published as a part of the Data Science Blogathon Introduction Imagine having the power to observe your customer’s thoughts, like what they really think of a particular product/service. For instance, there is a new product launched by NIKE and REEBOK. Both the companies launched a pair of new sports shoes and posted them on their social media accounts like Instagram or Facebook for marketing purposes. Is it possible for an individual to check all the thousands or lakhs […]

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Issue #135 – Recovering Low-Frequency Words in Non-Autoregressive NMT

17 Jun21 Issue #135 – Recovering Low-Frequency Words in Non-Autoregressive NMT Author: Dr. Patrik Lambert, Senior Machine Translation Scientist @ Iconic Introduction Non-Autoregressive Translation (NAT), in which the target words are generated independently, is raising a lot of interest because of its efficiency. However, the assumption that target words are independent of each other leads to errors which affect translation quality. In this post we take a look at a paper by Ding et al. (2021) which confirms findings that […]

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Orientation independent Möbius CNNs

MobiusCNNs This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent Convolutional Networks. Background (tl;dr) All derivations and a detailed description of the models are found in Section 5 of our paper. What follows is an informal tl;dr, summarizing the central aspects of Möbius CNNs. Feature fields on the Möbius strip: A key characteristic of the Möbius strip is its topological twist, making it a non-orientable manifold. Convolutional weight sharing on the […]

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An unofficial library for discord components with python

discord-components Discord components are cool, but discord.py will support it on version 2.0. It is hard to wait, so we made a third-party library for using components such as buttons or selects! We’re currently developing this library, so it has a lot of bugs. But it has enough features to make the components easy to use 🙂 Features You can use discord components and handle interactions easily! Methods based on discord.py. Supports discord.ext.commands, and going to support discord-py-slash-command. Install pip […]

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A tool for modeling infectious diseases with python

epispot A Python package for the mathematical modeling of infectious diseases via compartmental models. Originally designed for epidemiologists, epispot can be adapted for almost any type of modeling scenario. Features The epispot package currently only supports compartmental models, thoughwe plan to expand the package to work for stochastic agent-based and spatialmodels as well. Currently, epispot offers the following: Quick compilation of compartmental models with the following compartments: Susceptible Infected Recovered Removed Exposed Dead Critical Hospitalized Custom-defined compartments for research Built-in […]

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Keep CALM and Improve Visual Feature Attribution

calm Keep CALM and Improve Visual Feature Attribution Abstract The class activation mapping, or CAM, has been the cornerstone of feature attribution methods for multiple vision tasks. Its simplicity and effectiveness have led to wide applications in the explanation of visual predictions and weakly-supervised localization tasks. However, CAM has its own shortcomings. The computation of attribution maps relies on ad-hoc calibration steps that are not part of the training computational graph, making it difficult for us to understand the real […]

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Interact with Replit remotely with the Replit CLI

Replit CLI Interact with Replit remotely with the Replit CLI. pip install repl-cli Welcome to Replit CLI! With the Replit CLI Application, you can work with your repls locally, including clone, pull, and push, the core features of the CLI. The full list of features includes- PS C:> replit Usage: replit [OPTIONS] COMMAND [ARGS]… Options: –install-completion [bash|zsh|fish|powershell|pwsh] Install completion for the specified shell. –show-completion [bash|zsh|fish|powershell|pwsh] Show completion for the specified shell, to copy it or customize the installation. –help Show […]

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A simple script which logs the CPU and RAM usage of the submitted job

ClusterMonitor A very simple python script which monitors and records the CPU and RAM consumption of submitted cluster jobs. Usage To start recording use the cpu_ram_log.py script. This script requires 3 arguments: -u which corresponds to your username. -o which specifies the output file (in tsv format) –interval which specifies the time (in seconds) over which the CPU and RAM usage gets averaged Example: python cpu_ram_log.py -u nickhir -o cpu_ram.log –interval 5 The script can simply be included in your […]

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