Michaël Vaccaro's repositories
Deep-Networks-for-Graph-Representation
Implementation of a Deep Neural Network for learning Graph Representation (DNGR) with a PU learning further step to learn new graph edges.
AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Language:PythonApache-2.0000
AutoDL-Self-Service
Competition bundle for an AutoDL Self Service hosted on Codalab. Contains the winning solution of the AutoDL Challenge.
competition-examples
Example competitions for the CodaLab project.
Language:Python000
Mixed-Multi-Instance-Learning-on-histological-images
Mixed Multi Instance Learning on histological images
Language:Jupyter Notebook000
Ontologies
The combination of genomic ontology and interpretable neural networks for segmentation of single cell RNa-seq data.
Language:Jupyter Notebook000
shaDow_GNN
NeurIPS 2021: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures
Language:PythonMIT000