Pinned Repositories
ABL-HED
Handwritten Equations Decipherment with Abductive Learning
ABL_minimal
A minimal example of Abductive Learning
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
IDR-small-project
A small project on IDR (https://idr.openmicroscopy.org/)
Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash
Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt
learn-prolog-now-exercises
My solutions to the exercises and practical sessions of the book 'Learn Prolog Now!' by Patrick Blackburn, Johan Bos, and Kristina Striegnitz.
liubodan.github.io
logic_explained_networks
Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
myrender-charmingdata-app
PABL
Paraconsistent Abductive Learning
LiuBodan's Repositories
LiuBodan/PABL
Paraconsistent Abductive Learning
LiuBodan/liubodan.github.io
LiuBodan/UMM-Discovery
UMM-Discovery is a fully unsupervised deep learning method to cluster cellular images with similar phenotypes together, solely based on the intensity values.
LiuBodan/ABL-HED
Handwritten Equations Decipherment with Abductive Learning
LiuBodan/ABL_minimal
A minimal example of Abductive Learning
LiuBodan/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
LiuBodan/IDR-small-project
A small project on IDR (https://idr.openmicroscopy.org/)
LiuBodan/Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash
Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt
LiuBodan/learn-prolog-now-exercises
My solutions to the exercises and practical sessions of the book 'Learn Prolog Now!' by Patrick Blackburn, Johan Bos, and Kristina Striegnitz.
LiuBodan/logic_explained_networks
Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
LiuBodan/myrender-charmingdata-app
LiuBodan/paraABL
LiuBodan/trivialism
trivialism
LiuBodan/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022
LiuBodan/WS-DINO
WS-DINO: a novel framework to use weak label information in a self-supervised setting to learn phenotypic representations from high-content fluorescent images of cells.