-
Badji Mokhtar Annaba University
- Annaba
- https://www.researchgate.net/profile/Imed-Eddine-Haouli
- https://orcid.org/0000-0002-5902-3835
- in/imed-eddine-haouli
- @ImedEddine_Ha
- https://devmesh.intel.com/users/imed-eddine-haouli
- https://www.cloudskillsboost.google/public_profiles/c134ee4d-2863-4108-a540-df6945214ae7
Highlights
Lists (1)
Sort Name ascending (A-Z)
Starred repositories
Direct access to the zeitgeist. A curated library of technical PDFs across 8 trending fields, featuring comprehensive summaries and visual indexing for rapid knowledge acquisition.
Modified Swin Transformer model in PyTorch on CIFAR-10 for image classification
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
[ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data
A free, open-source SaaS app starter for React & Node.js with superpowers. Full-featured. Community-driven.
A list of free LLM inference resources accessible via API.
OCR model that handles complex tables, forms, handwriting with full layout.
A curated list of free courses with certifications. Also available at https://free-certifications.com/
🚀 A hand-curated list of free, open, and developer-friendly APIs
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
The code repository of the paper: Competition and Attraction Improve Model Fusion
[MIDL 2025] Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders
Vision Foundation Models for Medical AI, including RETFound, DINOv2, DINOv3
KAUST Academy Artificial Intelligence Summer 2025
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
When do we not need larger vision models?
The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes".
Instead of generating new images, use conditional synthesis to add pathology/evidence of disease onto healthy samples
Implementation of Graph Convolutional Networks in TensorFlow