The HeadJack framework and also were designed by ourself, so we had a paper, which summited to a ML conference and in the double-blind process, that it is not convenient public right not, but the framework was based on GAN with cross-domain and self-supervised learning. We will open it in the future : )

Thanks for your kindly words, this is an open version not for enterprise. The enterprise one did not released the dataset into the wild, the feature model only put on your privacy pool. In the future version, we will consider replace account info with API key.

Thanks for the heads up, HJ tries to connect datasets in the whole world and be a next-generation feature engineering method.

Unfortunately, "no single machine learning algorithm is universally the best-performing algorithm for all problems" from no free lunch theorem, that is, you just quickly try each algo on your task, and pick the best one on proper validation.