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Julia Machine Learning Toolbox
Deep High-Resolution Representation Learning for Human Pose Estimation
Multi-Domain Translation by Learning Uncoupled Autoencoders ; arXiv:1902.03515; Karren D. Yang, Caroline Uhler; Submitted on 9 Feb 2019 - Leveraging a shared latent representation, it learns transport maps between multiple domains, using multiple uncoupled autoencoders that can be trained separately and composed.
Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure - An unsupervised, scalable, tunable debiasing Deep Learning algorithm to promote algorithmic fairness in modern AI systems.
Python Visualisation in Power BI