Andreas Grivas's starred repositories
curl
A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
pdfplumber
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
vim-python-pep8-indent
A nicer Python indentation style for vim.
pandoc-templates
Some templates for Pandoc.
password-store
Read-only mirror of https://git.zx2c4.com/password-store - https://www.passwordstore.org/ . Pull requests and issues on GitHub cannot be accepted and will be automatically closed. The proper way to submit changes is via the mailing list; see https://lists.zx2c4.com/mailman/listinfo/password-store .
vim-markdown-preview
A light Vim plugin for previewing markdown files in a browser - without leaving Vim.
pandocfilters
A python module for writing pandoc filters, with a collection of examples
ArtofStatistics
Code for 'The Art of Statistics'
vim-tmux-focus-events
Make terminal vim and tmux work better together.
ipython-tikzmagic
IPython magics for generating figures with TikZ
greek-bert
A Greek edition of BERT pre-trained language model
Awesome-medical-coding-NLP
A collection of papers on automated medical coding from free-texts
COVID19-Literature-Clustering
An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.
ACL2020T3material
Contains all teaching material used in ACL 2020 Tutorial "Reviewing NLP" given on July 5 2020
tetra-tagging
Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference
ml-for-nlp
Machine Learning for Natural Language Processing (ML-for-NLP) reading group