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bert_document_classification

architectures and pre-trained models for long document classification.

brewpi-docker

docker containers to run a BrewPi server

brewpi-ispindel

Add iSpindel data to BrewPi display

brewpi-script

This is the repository for the BrewPi Python script. The python script logs the data, monitors the temperature profile and communicates with the BrewPi slave and the web server

brewpi-tools

Various tools to setup/update/configure BrewPi

brewpi-www

This is the repository for the BrewPi Peace&Hops adaptation. Added mysql login.

crocodile-qualifiers

cRocoDiLe is a dataset extraction tool for Relation Extraction using Wikipedia and Wikidata presented in REBEL (EMNLP 2021).

deep-learning

I'll put all the valuable tutorials and starter codes of deep learning here.

evo_comp_43

google-research

Google Research

krsatsudoku

leamr

A structurally comprehensive dataset of AMR-to-text alignments for coverage of a larger variety of linguistic phenomena, for research related to AMR parsing, generation, and evaluation.

lightning-text-classification

Minimalist implementation of a BERT Sentence Classifier with PyTorch Lightning, Transformers and PyTorch-NLP.

lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

littlepea13.github.io

:ramen: Minimalist Jekyll Template

littlepea13.github.io_test

A refreshed version of Hyde for Jekyll 3.x and 4.x

mtl_political_discourse

Repository with the code for the paper: The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse

p-lightning-template

profile_page

skip-prediction-challenge-starter-kit

smnlshyper

statnlpinfer

tools

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

usvsthem

Repository for the paper Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions

wav2vec2-catala

Wav2Vec 2.0 catalan training scripts and models

wikiextractor

winerama-recommender-tutorial

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.