Educational materials on deep learning by Weights & Biases

Code and data for "Lost in the Middle: How Language Models Use Long Contexts"

Train neural networks to reconstruct air-shower properties using detector responses measured at a ground-based observatory

Early stopping for PyTorch

Attention-based sequence-to-sequence model for handwritten word recognition