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AI for Power Electronics

A comprehensive learning path for applying AI in Power Electronics Design.

1. Foundational

1.1 Python Basics

1.2 Manage Environment and Dependencies

  • Package management with pip, conda, venv

1.3 Pythonic Programming

2. Basic

2.1 Python Modules

2.2 Simulation Automation

3. Intermediate

3.1 Meta-Heuristic Algorithms

  1. Metaheuristics Library
  2. PyMetaheuristic

3.2 Machine Learning

  1. ML with Python
  2. ML Tutorials
  3. Ensemble Methods

3.3 Deep Learning

  1. PyTorch Deep Learning
  2. CS5242 Course

4. Advanced

4.1 Physics-informed Machine Learning

  1. NVIDIA Modulus
  2. Physics-Aware Neural Networks (PANN)

4.2 Generative AI for Power Electronics

  1. PE-GPT: Power Electronics GPT
  2. OpenAI Cookbook

4.3 Graph Neural Networks

  1. Benchmarking GNNs
  2. GNNs Recipe

4.4 Reinforcement Learning

  1. RL Fundamentals
  2. RL: An Introduction

4.5 Edge Deployment

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