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Hi, I'm Adrien Golebiewski

I'm Adrien Golebiewski @adriengoleb, a computer science engineer, graduated from EICNAM engineering school and from the IASD research master's degree in artificial intelligence at PSL University (joint program Dauphine, Mines de Paris, ENS Ulm) in 2022/2023.

I’m passionate about Data Science, Machine Learning and more generally about the Artificial Intelligence (AI) and their applications in the Computer Vision fields. I am particularly interested in Deep Learning technologies and their interpretabilities. Sensitive to the frugal AI and the trustworthy AI, AI for mission-critical systems is an exciting subject in the industry field.

Particularly interested to the weakly supervised learning strategies : domain adaptation, self supervision, n-shot learning...

  • 🧠  I'am very enthusiastic to solve real-world problems. As a self-learner and open source enthusiast, I constantly seek to sharpen my knowledge and gain new skills. I never stop learning 📚.

  • 🔭 I'm working on a community project: IAZ, writing and organizing AI courses from A to Z for a French speaking audience : https://github.com/adriengoleb/ia-z and participate to writing scientific articles on "la revue IA" https://larevueia.fr/ about frugal AI and Domain adaptation. I continue to improve my skills in data analysis through different projects in the sport field.

  • 🤝  I'm open to collaborating on meaningful AI projects

  • 📫 How to reach me :

Mail   Linkedin  


Adrien Golebiewski's Projects

drl_berkeley icon drl_berkeley

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)

easy-few-shot-learning icon easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

ia-z icon ia-z

Dépôt pour le cours d'IA par la communauté @DefendIntelligence.

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