Jordy-VL

2020GenerativeModel

Generative Modelのテストに使います．

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-primer

diffAURC

Differentiable AURC

DistilDoc_ICDAR24

DUDEeval

Standalone evaluation scripts and starter code for the ICDAR 2023 DUDE competition

multi-modal-early-exit

Code repository for submission

research-papers

A repository in which I keep my summaries and comments on new research papers that I have read.

uncertainty-bench

Code repository for **Benchmarking Scalable Predictive Uncertainty in Text Classification**, by Jordy Van Landeghem, Matthew Blaschko, Bertrand Anckaert and Marie-Francine Moens.

Jordy-VL/research-papers

A repository in which I keep my summaries and comments on new research papers that I have read.

Jordy-VL/2020GenerativeModel

Generative Modelのテストに使います．

Jordy-VL/BirdSimulator

In order to get familiar with Java, I worked around with a World Simulation, applied to common birdlife. Though it is quite simplistic and idealised, it has helped me master some specific Java functionality.

Jordy-VL/deepbayes-2018

Seminars DeepBayes Summer School 2018

Jordy-VL/document-classification-exps

Jordy-VL/DSE210x-Statistics-and-Probability-in-Data-Science-using-Python

UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python

Jordy-VL/pycalib

Non-Parametric Calibration for Classification (AISTATS 2020)

Jordy-VL/python-latex-highlighting

LaTeX style for Python highlighting

Jordy-VL/seqeval

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

Jordy-VL/Text-Classification-on-Gaussian-Process-Latent-Models-

Jordy-VL/udacity-project