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Weronika Wojtak's Projects

dnf-robotics icon dnf-robotics

Examples of robotics experiments using architectures based on the theoretical framework of Dynamic Neural Fields from W. Wojtak et al. A neural integrator model for planning and value-based decision making of a robotics assistant. Neural Computing and Applications, 33(8), 3737-3756, 2021 and other articles.

ds-crash-course icon ds-crash-course

backup of notebooks from data science crash course from freecodecamp

nf-model-for-learning-time-intervals icon nf-model-for-learning-time-intervals

Simulates a time measurement and time reproduction experiment using a model of a robust neural integrator based on the theoretical framework of dynamic neural fields.

pinns-and-ipinns-pytorch icon pinns-and-ipinns-pytorch

This repository hosts my PyTorch implementations of PINN (Physics-Informed Neural Network) and iPINN (inverse Physics-Informed Neural Network) from the tutorial https://towardsdatascience.com/inverse-physics-informed-neural-net-3b636efeb37e

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