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Generative models
Generating new temporal sequences with VAE and normalizing flows; comparing distributions rather than training loss alone.
In practice
- Human Input: motion & typing
Developed and compared generative models for mouse motion and typing rhythm in PyTorch.
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Related projects
- Human Input: motion & typing
A generator of mouse movement and typing rhythm with natural variation. Turns a target and text into a ready-to-use sequence of actions, with an API and an interactive demo.