I'm an engineer student in France and I π Artificial Intelligence.
That's why I do a lot of little projects where I try to discover new things in Machine Learning
- Sithakoul, S., Meftah, S., Feutry, C. (2024). BEExAI: Benchmark to Evaluate Explainable AI. In: Longo, L., Lapuschkin, S., Seifert, C. (eds) Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2153. Springer, Cham. https://doi.org/10.1007/978-3-031-63787-2_23
- Speech Recognition and TTS
- NLP: Conversational AI
- Computer Vision: GANs, CNN, Diffusion models
- Machine Learning Algorithms: Random Forests, Gradient Boosting...
- Optimization Algorithms: Branch&Bound, Simulated Annealing, Genetic Algorithms, MCTS
- Physics Informed Neural Networks
- Explainable AI (XAI) and evaluation methods
I do most of my projects in Python with Machine Learning frameworks:
- Pytorch
- Tensorflow
- Scikit-learn
- OpenCV