Manage python virtual environments on the working notebook server

notebook-environments Manage python virtual environments on the working notebook server. Installation It is recommended to use this package together with virtualenv and virtualenvwrapper to work with python virtual environments more suitable. Make sure the installed python interpreters work without errors on the current operating system. To install this package as a standalone application with the command-line interface you are to run the following command: sudo sh -c “$(curl https://raw.githubusercontent.com/vladpunko/notebook-environments/master/install.sh)” Use the package manager pip to install notebook-environments without the command-line […]

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Implementing Transformers in NLP Under 5 Lines Of Codes

This article was published as a part of the Data Science Blogathon Introduction Today, we will see a gentle introduction to the transformers library for executing state-of-the-art models for complex NLP tasks. Applying state-of-the-art Natural Language Processing models has never been more straightforward. Hugging Face has revealed a compelling library called transformers that allow us to perform and use a broad class of state-of-the-art NLP models in a specific way. Today we are operating to install and use the transformers library […]

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Text Preprocessing made easy!

This article was published as a part of the Data Science Blogathon Introduction We will learn the basics of text preprocessing in this article. Humans communicate using words and hence generate a lot of text data for companies in the form of reviews, suggestions, feedback, social media, etc. A lot of valuable insights can be generated from this text data and hence companies try to apply various machine learning or deep learning models to this data to gain actionable insights. Text […]

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NLP Application: Named Entity Recognition (NER) in Python with Spacy

Natural Language Processing deals with text data. The amount of text data generated these days is enormous. And, this data if utilized properly can bring many fruitful results. Some of the most important Natural Language Processing applications are Text Analytics, Parts of Speech Tagging, Sentiment Analysis, and Named Entity Recognition. The vast amount of text data contains a huge amount of information. An important aspect of analyzing these text data is the identification of Named Entities. What is a Named […]

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A Gentle Introduction To MuRIL : Multilingual Representations for Indian Languages

This article was published as a part of the Data Science Blogathon “MuRIL is a starting point of what we believe can be the next big evolution for Indian language understanding. We hope it will prove to be a better foundation for researchers, startups, students, and anyone else interested in building Indian language technologies” said Partha Talukdar, Research Scientist, Google Research India. What is MuRIL? MuRIL, short for Multilingual Representations for Indian Languages, is none other than a free and open-source […]

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TS-SS similarity for Answer Retrieval from Document in Python

This article was published as a part of the Data Science Blogathon Introduction This article focuses on answer retrieval from a document by using a similarity algorithm. This task falls under Natural Language Processing which is a subset of Deep Learning. In this article, we will be understanding why do we require better techniques and what are the drawbacks of using naive algorithms. Moreover, we will be implementing a similarity-based technique for answer retrieval from the document. This article is a […]

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Text Preprocessing in NLP with Python codes

This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing (NLP) is a branch of Data Science which deals with Text data. Apart from numerical data, Text data is available to a great extent which is used to analyze and solve business problems. But before using the data for analysis or prediction, processing the data is important. To prepare the text data for the model building we perform text preprocessing. It is the very first […]

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A GUI app base on warp-cli for linux

warp cloudflare gui a GUI app base on warp-cli for linux Installation read warp-cli install doc. install warp-cli and register with $ warp-cli register. and then: git clone https://github.com/mrmoein/warp-cloudflare-gui cd warp-cloudflare-gui python3 install.py now search for warp cloudflare app in your desktop menu Uninstall just remove ~/.local/share/applications/warp-gui.desktop file GitHub https://github.com/mrmoein/warp-cloudflare-gui    

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Parse discord tokens from any file even if there is other shit in the file with them

Discord-Token-Parser Parse discord tokens from any file, even if there is other shit in the file with them. Any. File. I glued together all html from the archives of tokenlogged users in discord, and the parser took the tokens from THEIR webhook tokenlogger![open_mouth](https://github.githubassets.com/images/icons/emoji/unicode/1f62e.png =20×20) Before/after: Menu: GitHub https://github.com/GuFFy12/Discord-Token-Parser    

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A Python library for easy manipulation and forecasting of time series

darts darts is a Python library for easy manipulation and forecasting of time series. It contains a variety of models, from classics such as ARIMA to deep neural networks. The models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn. The library also makes it easy to backtest models, and combine the predictions of several models and external regressors. Darts supports both univariate and multivariate time series and models, and the neural networks […]

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