Jordy Van Landeghem's repositories
uncertainty-bench
Code repository for **Benchmarking Scalable Predictive Uncertainty in Text Classification**, by Jordy Van Landeghem, Matthew Blaschko, Bertrand Anckaert and Marie-Francine Moens.
multi-modal-early-exit
Code repository for submission
AAPD
Project for research article classification
awesome-neural-adaptation-in-NLP
Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632
calibration
"Fork" of ECML hands-on tutorial on calibration
calibration-framework
Python Framework to calibrate confidence estimates of classifiers like Neural Networks
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
document-layout-analysis-app
Simple docker deployment of document layout analysis using detectron2
google-research
Google Research
HackerRank
My solutions to the challenges on HackerRank
latex-templates
A collection of LaTeX templates used for research, courses, and miscellanea.
LATIN-Prompt
for testing downstream DLA improvements
LSAN
custom fork of EMNLP2019 sota for multilabel text classification
prettyplots
Design your own matplotlib stylefile interactively
probai-2022
Materials of the Nordic Probabilistic AI School 2022.
Representation-Learning-for-Information-Extraction
Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.
SP-calibration-NER
Meta-repository in which I keep the environment and repositories from which to obtain trained predictors to estimate SCE on
uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
uncertainty-metrics
An easy-to-use interface for measuring uncertainty and robustness.
verified_calibration
Code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).