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1. Tracking-Control Tracking-Control Public

   Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.

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2. Reservoir-Computing-and-Hyperparameter-Optimization Reservoir-Computing-and-Hyperparameter-Optimization Public

   Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune …

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3. Parameter-Tracking-with-Machine-Learning Parameter-Tracking-with-Machine-Learning Public

   Codes for ''Machine-learning parameter tracking with partial state observation'', which published in Physical Review Research.

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4. Dynamics-Reconstruction-ML Dynamics-Reconstruction-ML Public

   Reconstructing dynamics from sparse observations with no training on target system.

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5. AMOC AMOC Public

   Codes for ''Machine-learning nowcasting of the Atlantic Meridional Overturning Circulation''. The main idea is to use reservoir computing to predict the AMOC evolution in short term.

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6. Power-grid-attack-detection-and-state-estimation-with-machine-learning Power-grid-attack-detection-and-state-estimation-with-machine-learning Public

   Detecting attacks and estimating states of power grids from partial observations with machine learning. A manuscript submitted to PRX Energy.

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