D

deep learning

Webpage for the L52+ lab

A Contextual-Enhanced LightGCN for Movie Recommendation Systems

Materials on various sections in Computer Science (CS). 🎓

The VirtuaLearn3D++ open-source scientific software for 3D point clouds.

Predicting pathogenic potentials of short DNA reads with reverse-complement deep neural networks.

Image Tagger is an application that predicts an image's tags using deep-learning. It is useful for photographers who want to improve their workflow by auto-tagging images.

This project is a re-implementation of FeatureNet using Tensorflow 2. With working segmentation code.

FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer

Protocol for network and expression integration to identify potential defense gene in host-pathogen interactions

Projet personnel de classification des maladies des feuilles d'arbre. Article technique disponible sur mon blog : https://boulayc.gitlab.io/blog/

This is the unpaired image-2-image and volume-2-volume translation project. It converts images or volumes of an input domain to a target domain using artificial intelligence.

Lifelong learning is a complex topic in machine learning, whether in combination with reinforce- ment learning or other learning methods. There are different approaches for this and one of them are hypernetworks. Hypernetworks have the advantage of having a very large ability to preserve past memories. Recent work attempts to demonstrate the learning ability of multiple tasks with a hypernetwork such as in the combination of reinforcement learning.

End-to-end meme template extractor & enhancer

Controversy quantification of topics on twitter, based on user probability to participate in a controversy topic, using GNN and NLP models.

The aim of this project is to provide an exploratory analysis of Domain Adaptation (DA) techniques in the context of PHM for Bearings fault prognosis, focusing on Health Index (HI) estimation and Remaining Useful Life (RUL) prediction. The adopted dataset is the PRONOSTIA/FEMTO-ST bearings dataset.

Repository to generate synthetic MRI from q*MRI maps with deep learning physics-informed approached as described by Jacobs Luuk et al. Medical Physics 2023 "Generalizable synthetic MRI with physics-informed convolutional networks".

Image, Deep Learning, Ecology : please visit https://ecostat.gitlab.io/imaginecology/

A curated list of deep learning resources for computer vision in the context of ecology

Pipeline for deep learning network construction of host pathogen interaction (DLNet-HPI).

Master thesis - Deep learning-based pairwise alignment of protein sequences using transformer architecture.