putssander Goto Github PK

-l-ctra

Ælæctra was created as part of a Cognitive Science bachelor thesis, in the attempt to enhance the Danish NLP community with a more efficient Transformer-based language model.

coreference-resolution

Coreference Resolution

coursera---natural-language-processing-specialization-by-deeplearning.ai

#Assignment Answers #About this Specialization: Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio. By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

docker-jupyter-pytorch

pytorch with gpu support, jupyter notebook and tensorboardx

docker-roonserver

RoonServer downloading Roon on first run

filterbubbel-nlp

Retrain state of the art NLP models for Dutch

giveme5w1h

Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

medstruct-config

medstruct configuration

micro-portraits

mtranslate

A simple api for google translate

multilingual-usas

Lexicons for the Multilingual UCREL Semantic Analysis System

nlpflow

nqg

neural question generation for reading comprehension

nubes-negation-uncertainty-biomedical-corpus

Repository of the NUBes corpus

openai-cookbook

Examples and guides for using the OpenAI API

psych-datau

Data utilities for Psychology

putssander.github.io

Projects and overviews

py-json-nlp

Python module for JSON-NLP

pymusas

Python Multilingual Ucrel Semantic Analysis System

question-generation

Given a sentence automatically generate reading comprehension style factual questions from that sentence, such that the sentence contains answers to those questions.

quotebank

Code and data for the WSDM '21 paper "Quotebank: A Corpus of Quotations from a Decade of News"

spacy-json-nlp

spaCy wrapper for JSON-NLP (docker edit)