PinnedFrançois PorcherinTowards Data ScienceThe Ultimate Guide to Vision TransformersA comprehensive guide to the Vision Transformer (ViT) that revolutionized computer vision.Aug 301Aug 301
PinnedFrançois PorcherinTowards Data ScienceA comprehensive guide of Distributed Data Parallel (DDP)A comprehensive guide on how to speed up the training of your models with Distributed Data Parallel (DDP)Oct 30, 20233Oct 30, 20233
PinnedFrançois PorcherinTowards Data ScienceDETR (Transformers for Object Detection)Deep Dive and clear explanations on the paper “End to end detection with transformers”Oct 7, 2023Oct 7, 2023
PinnedFrançois PorcherinTowards Data ScienceThe Ultimate Guide to nnU-Net for State of the Art Image SegmentationA theoretical and practical guide on how to use nnU-Net for Computer Vision and Semantic Image Segmentation and deliver SOTA performance.Aug 2, 20235Aug 2, 20235
PinnedFrançois PorcherinTowards Data ScienceA Gentle Introduction to Bayesian Deep LearningExplore the intersection of Bayesian statistics and Deep Learning, its advantages and limitations in this easy guideJul 26, 20235Jul 26, 20235
François PorcherinTowards Data ScienceHow to Implement State-of-the-Art Masked AutoEncoders (MAE)A Step-by-Step Guide to Building MAE with Vision TransformersSep 161Sep 161
François PorcherinAI AdvancesThe Ultimate Guide to Masked Autoencoders (MAE)How to Train Vision Transformers Without Supervision with Masked AutoencodersSep 10Sep 10
François PorcherinTowards Data ScienceHow to Train a Vision Transformer (ViT) from ScratchA practical guide to implementing the Vision Transformer (ViT)Sep 4Sep 4
François PorcherinTowards Data ScienceHow Should You Test Your Machine Learning Project? A Beginner’s GuideA friendly introduction to testing machine learning projects, by using standard libraries such as Pytest and Pytest-covJul 4Jul 4
François PorcherHow to live longer and healthier lives? (Outlive by Peter Attia)Exploring “Outlive” by Peter Attia — A Guide to Thriving at Any AgeMar 21Mar 21