Welcome to DeepOBS¶
DeepOBS is a benchmarking suite that drastically simplifies, automates and improves the evaluation of deep learning optimizers.
It can evaluate the performance of new optimizers on a variety of real-world test problems and automatically compare them with realistic baselines.
The code for the current implementation in TensorFlow can be found on GitHub. We plan also provide a DeepOBS implementation in PyTorch soon. In the meantime, PyTorch users can still use parts of DeepOBS such as the data preprocessing scripts or the visualization features.
User Guide
API Reference