Data generation engine, sandbox environment and evaluation tools accompanying "ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution".

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

Official repo for CheckDST

Code to reproduce LREC Paper Simplifying Semantic Annotations of SMCalFlow

Paraphrase sentences with Pegasus

The Citation File Format lets you provide citation metadata for software or datasets in plaintext files that are easy to read by both humans and machines.

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Hyperparameter optimization for machine learning algorithms.

Algorithms for outlier, adversarial and drift detection

Algorithms for explaining machine learning models

A method to generate speech across multiple speakers

Minimal tutorial on packing and unpacking sequences in pytorch