Problem library

ML building blocks, one implementation at a time.

Practice the functions, model classes, and training loops inside production ML systems.

Minibatch Iterator

Implement Minibatch Iterator with production-minded edge case handling.

Implement Feature Normalization with production-minded edge case handling.

Implement Categorical Encoding with production-minded edge case handling.

Pad or truncate variable-length token sequences and build attention masks.

Aggregate timestamped values into fixed windows while preserving empty gaps.

Remove duplicate identifiers while preserving their first-occurrence order.

Split events chronologically without future leakage.