* Models now use self._loss_dict to keep track of losses, and not the built-in keras self.losses (so that we can keep track of each loss name without needing a synced parallel list).
0.0.10
* Allow memory growth flag for GPUs with less memory. * Use latest CREPE * Remove custom TPU cumsum function * Bug fixes to colab * Compare f0 predictions with f0 ground truth * Creating datasets with different sample rates
0.0.7
Update code to use tensorflow 2 and python 3.
0.0.6
Code used in the initial ICLR 2020 paper (https://openreview.net/forum?id=B1x1ma4tDr). `ddsp/` works for tf1 and tf2, while `ddsp/training/` is written with the tf1 Estimator API.