There are three test cases, each test case can be fully reproduced by running python3 main_vdp.py, python3 main_linear.py, python3 main_nonlinear.py, which first
generates time series data through simulating the systems with random initial conditions, and then initializes a ResNet model to train on the generated data.
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A PyTorch implementation of "Learning Reduced Systems via Deep Neural Networks with Memory", using the ResNet model.
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