Uncertainty Baselines provides the research community with high-quality, forkable implementations of standard and state-of-the-art ML methods for uncertainty quantification. Built on TensorFlow, it offers baselines across tasks with minimal interdependencies so researchers can quickly prototype new approaches. The library also prescribes best practices for ML benchmarking and uncertainty evaluation.