You can use this machine learning demo to roll Keanu Reeves' (or anyone's) eyes

Another day, another fun internet thing that uses neural networks for facial manipulation. This time it's DeepWarp, a demo created by Yaroslav Ganin, Daniil Kononenko, Diana Sungatullina, and Victor Lempitsky, that uses deep architecture to move human eyeballs in a still image. First spotted by Prosthetic Knowledge, DeepWarp is focused on realistic "gaze manipulation." The authors of the demo acknowledge that similar projects already exist (like the smile-manipulator FaceApp), but without such a singular, detailed focus. The authors note that their findings in this study could be applied to solve real-world issues of eye movement, like for "gaze correction in video conferencing."