ramonziai
Computational Linguistics researcher and developer with a keen interest in using state-of-the-art NLP to solve current problems in education.
University of TübingenTübingen, Germany
Pinned Repositories
h5p-short-answers
isaac-feature-extraction
Python-based feature extraction for Short Answer Assessment to be shared across repos.
isaac-sas-backend
Short Answer Scoring backend, capable of training and prediction over HTTP requests. Built on sklearn, fastapi and ONNX. Used in the ISAAC project (https://ramonziai.github.io/isaac-website).
stanza-api
FastAPI-based web-service for the Stanford Stanza NLP toolkit.
stanza-java
A Java client for the stanza-api (https://github.com/lingmod-tue/stanza-api)
ctap-multilingual
The CTAP system that supports multilingual analysis
cypress-image-snapshot
Catch visual regressions in Cypress with jest-image-snapshot
errant
ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.
isaac-website
openthesaurus-mariadb
Docker image built on mariadb with latest OpenThesaurus database
ramonziai's Repositories
ramonziai/ctap-multilingual
The CTAP system that supports multilingual analysis
ramonziai/cypress-image-snapshot
Catch visual regressions in Cypress with jest-image-snapshot
ramonziai/errant
ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.
ramonziai/isaac-website
ramonziai/openthesaurus-mariadb
Docker image built on mariadb with latest OpenThesaurus database
ramonziai/python-machine-learning-docker
Docker image with Python 3.6 and 3.7 using Conda, with CUDA variants. To serve as base image for Machine Learning projects.
ramonziai/ramonziai.github.io
My professional website
ramonziai/raphael
JavaScript Vector Library
ramonziai/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
ramonziai/stl2srt
A python command-line utility to convert EBU STL and TT (W3C, SMPTE and EBU variants) subtitles files into the simpler SRT format
ramonziai/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs