W&B Experiments lets you quickly and easily implement experiment logging by adding just a few lines to your script and start logging results. Our lightweight integration works with any Python script.
Easily track & save the performance of your deep learning models. In < 5 lines of code, integrate Keras, Tensorflow, Pytorch, or Fastai models so that every hyperparameter & metric is saved each time code runs.
Hyperparameter tuning is a way to find the best machine learning model. We make it ridiculously easy to run hyperparameter sweeps using simple algorithms like grid search, to more modern approaches like bayesian optimization and early stopping.
