Popular GitHub Repositories for Electrical Drives

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids

LLM-powered AI guide that leads and drives intelligent conversations

An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)

Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology

A step-by-step tutorial that allows beginners to write their own autonomous vehicle program from scratch using a simple starter kit. Dora-drives makes learning autonomous vehicle systems faster and easier.

Code for the 2025 ACL publication "Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs"

DRL-Base-EMS for HEVs

ANN based electrical fault detection and classification using line and phase currents and voltages.

Machine Learning based feature extraction of electrical substations from satellite data. Powered by IEEE-ICETCI, RRSC-Central, NRSC, and ISRO, this project incorporates instance segmentation of substations using UNet, Albumentations for image augmentation, and OpenCV for computer vision tasks.

This repository contains the code and dataset for the paper "Data-Driven Modeling of Three-Phase IGBT Two-Level Inverter for Electrical Drives using ANNs". The project employs MATLAB to develop and train Artificial Neural Networks (ANNs) to model a three-phase IGBT two-level inverter for electrical drives.

This repository provides scripts and notebooks to create a Named Entity Recognition (NER) dataset tailored for the electrical engineering domain.

This repository contains the source code for my Thesis in the Department of Electrical and Computer Engineering at Aristotle University of Thessaloniki. The scope of this project is the employment of Computer Vision and Natural Language Processing techniques to deal with the complex problem of Food Categorization. Specifically, this project evaluates mainly two different classification techniques: the classification using the visual features of an image and the classification with the intermediate step of predicting a list of ingredients.

???? ProfGPT: AI-powered VR professor with electrical circuits lab table ?? Built with Unity ? GPT and Whisper APIs ? and AWS Polly ???

prediction electrical activity of the brain between the people drink alcohol and have a depression

? Learning word embedding models based on the electrical consumption of various home appliances.

In this project, I have trained a Keras model that drives a car autonomously, around a circuit, in a simulated environment.

Code for paper "Robustness of Neural Networks used in Electrical Motor Tasks"

Electrical Impedance Spectroscopy analysis using Machine Learning

FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids