putssander

nlp-datau

Data Utilities for PRE/POST-processing NLP-data and analysis of results

-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

docker-jupyter-pytorch

pytorch with gpu support, jupyter notebook and tensorboardx

filterbubbel-nlp

Retrain state of the art NLP models for Dutch

medstruct-config

medstruct configuration

nlpflow

question-generation

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

putssander/filterbubbel-nlp

Retrain state of the art NLP models for Dutch

putssander/medstruct-config

medstruct configuration

putssander/question-generation

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

putssander/-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.

putssander/coreference-resolution

Coreference Resolution

putssander/docker-jupyter-pytorch

pytorch with gpu support, jupyter notebook and tensorboardx

putssander/nlpflow

putssander/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.

putssander/deduce-starter

Notebooks for using deduce in a docker environment

putssander/docker-roonserver

RoonServer downloading Roon on first run

putssander/Giveme5W1H

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

putssander/micro-portraits

putssander/mtranslate

A simple api for google translate

putssander/Multilingual-USAS

Lexicons for the Multilingual UCREL Semantic Analysis System

putssander/nqg

neural question generation for reading comprehension

putssander/NUBes-negation-uncertainty-biomedical-corpus

Repository of the NUBes corpus

putssander/openai-cookbook

Examples and guides for using the OpenAI API

putssander/psych-datau

Data utilities for Psychology

putssander/putssander.github.io

Projects and overviews

putssander/Py-JSON-NLP

Python module for JSON-NLP

putssander/pymusas

Python Multilingual Ucrel Semantic Analysis System

putssander/Quotebank

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

putssander/react-native-rss-reader

RSS Reader built with React Native

putssander/spaCy-JSON-NLP

spaCy wrapper for JSON-NLP (docker edit)