Welcome to this AWESOME repository of AI Tutorials!
This is a collection of tutorials I have made on various aspects of Artificial Intelligence (AI). I dig deep into subjects and you will information that you find nowhere else. Whether you're a complete beginner or an experienced AI enthusiast, these tutorials will provide you with valuable insights and practical knowledge and enable you to upskill in Computer Vision, NLP, Uncertainty Prediction, MLOps, Cloud Computing and more.
You can find a list of my articles on Medium.
- Cooking your first Unet
- V-Net, U-Net’s big brother in Image Segmentation
- The Ultimate guide to nnU-Net for State Of the Art Image Segmentation, [Github]
- Entropy-Based Uncertainty in Image Segmentation [Github]
- The Ultimate Guide to Vision Transformers
- How to Train a Vision Transformer (ViT) from scratch?
- The Ultimate Guide to Masked Autoencoders (MAE)
- How to Implement State-of-the-Art Masked AutoEncoders (MAE)?
Hey! My name is François, I am a A.I Research Scientist at Meta. Previously I was doing research on Deep Learning and NeuroImaging at Cambridge University, and I graduated from UC Berkeley and CentraleSupelec.
Being very curious and constantly learning, I have a very broad range of interests. I also like to break down the most complex topics into the tiniest bits and explain them in a simple way.
This is why I decided to distill all this knowledge into a series of articles/tutorials that I hope you will find useful.
Enjoy! 🤗