Interests: Machine Learning, Reinforcement Learning in practice - mainly for Control Systems and Predictive Maintenance
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Reinforcement-Learning-for-Control-of-Valves
Reinforcement-Learning-for-Control-of-Valves PublicThis project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink
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REINFORCE_for_Predictive_Maintenance
REINFORCE_for_Predictive_Maintenance PublicApplication of REINFORCE algorithm to create a predictive maintenance policy
Jupyter Notebook 1
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Digital_Signal_Processing_and_Deep_Learning
Digital_Signal_Processing_and_Deep_Learning PublicDSP + deep-learning. ML and DL for digital audio signals. Creating features in time-domain and frequency-domain.
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EdgeAI-uTensor_Embedded_RTOS_for_ARM_processors
EdgeAI-uTensor_Embedded_RTOS_for_ARM_processors PublicPredictive maintenance on the edge. uTensor - for building ML models for edge devices. Emedded RTOS C++ programming. Build a model on the desktop/laptop and transfer to a ST microprocessor.
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Empirical_Study_REINFORCE
Empirical_Study_REINFORCE PublicAn empirical study of the naive REINFORCE RL algorithm for predictive maintenance.
Jupyter Notebook 1
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