PyKale: make machine learning more accessible to interdisciplinary research
Why build PyKale? We aim to build a high-level machine learning library with unified API to support multiple data sources and domain-traversing models for interdisciplinary research. It will bridge gaps between data, software and end users for accessible, scalable, and sustainable research in machine learning. [v0.1.0rc3]
Code: https://github.com/pykale/pykale
Paper: https://arxiv.org/abs/2106.09756
Documentation: https://pykale.readthedocs.io/en/latest/