uncertainty-baselines
Uncertainty Baselines provides comprehensive resources for researchers in deep learning, focusing on uncertainty and robustness. It includes implementations of standard and cutting-edge methods, aiding new research ideas and applications. The project emphasizes minimal dependencies for easy customization and suggests benchmarking best practices for precise result comparisons. While not yet stable, it is usable on platforms like Google Cloud and Colab with frameworks such as TensorFlow, Jax, and PyTorch. Perfect for researchers requiring consistent and reliable baselines.
