Tutorials#
Tutorials connect the data, model, and evaluation guides into complete research tasks. Start by exploring a released checkpoint on PILArNet-M-mini, or complete the first experiment before training.
Explore Panda
Inspect one real test event and run the released encoder, semantic, particle, and interaction models with interactive Plotly figures.
Explore PoLAr-MAE
Inspect semantic predictions, masked reconstruction, and token embeddings.
Train semantic segmentation
Adapt the verified tiny pipeline into a per-point classification experiment.
Parameter-efficient fine-tuning
Freeze a base model, inject LoRA into selected projections, and verify the trainable set.