Computer Vision
Segmentation, detection, and the metrics that score them.
All the Segmentation Metrics
A visual catalogue of the metrics that show up in segmentation challenges — IoU, Dice, Hausdorff and many more — explained and illustrated.
EfficientDet meets PyTorch Lightning
Object detection with EfficientDet, wrapped cleanly in a PyTorch Lightning training loop.
LeCun's World Models: JEPA, LeJEPA, LeWorldModel & H-JEPA
A technical walkthrough of the JEPA world-model line — the maths, a PyTorch reconstruction, H-JEPA's hierarchy, theory and planning results.
Video Processing
Working with video — codecs, frames, and the preprocessing plumbing.
NLP & LLMs
Language models and how to train them efficiently.
Research
Deeper dives and paper write-ups — including work-in-progress drafts (WIP).
Random Matrices Meet Deep Learning — series roadmap
The plan for a multi-post series on the unexpected links between random matrix theory and deep learning.
Free Probability & Deep Learning (draft)
Free convolution, limiting spectra, and the Hessian / Jacobian / kernel bridges — Post 1 of the RMT × Deep Learning series.