György Orosz's repositories
phd-dissertation
Hybrid algorithms for preprocessing agglutinative languages and less-resourced domains
semisup-learn
Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
spaCy-tokenizer-benchmark
Quick and dirty scripts to measure the performance of spaCy
bme-biralat-sablon
Bírálat sablon a BME-s dolgozatokhoz
cloudlog
A simple logger that duplicates console logs to a file, Dropbox and Telegram.
connexion-cookiecutter
Template for building micro service APIs with Connexion, deployed via Docker and running with uWSGI & NGINX.
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
cookiecutter-ml-flask
Cookiecutter template for training and serving machine learning models with scikit-learn, spacy, Flask and Docker
crowsfoot
pelican theme
docker-compose-pybossa
Docker-compose file for testing PyBossa containers.
docker-mateplus
Dockerized SRL packages
docker-pybossa
Docker container for running PyBossa
fastText
Library for fast text representation and classification.
flask-restplus
Helpers, syntaxic sugar and Swagger documentation for Flask-Restful
hunlp-resources
Scripts and resources for making spaCy understand Hungarian.
kotlin-jupyter
Kotlin kernel for Jupyter/iPython
magyarlanc
The toolkit called magyarlanc aims at the basic linguistic processing of Hungarian texts. The toolkit consists of only JAVA modules (there are no wrappers for other programming languages), which guarantees its platform independency and its ability to be integrated into bigger systems (e.g. web servers).
PyMPQA
Python API for extracting data from the MPQA corpus
pyspotlight
A thin wrapper around the DBpedia Spotlight HTTP API
python-vimrc
VIM Configuration for Python / Cython / C Development
regiobanktech.hu
Website redirection for regiobanktech.hu
resume
Python resume generator. From YAML to PDF and static HTML.
ShallowLearn
A collection of supervised learning models based on shallow neural network approaches (e.g., word2vec and fastText) with some additional exclusive features. Written in Python and fully compatible with Scikit-learn.
spacy-benchmarks
💫 Runtime performance comparison of spaCy against other NLP libraries
spacy-dev-resources
💫 Scripts, tools and resources for developing spaCy
textacy
higher-level NLP built on Spacy