Popular GitHub Repositories for Electrical Circuits

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

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

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

[NeurIPS 2024] Knowledge Circuits in Pretrained Transformers

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

The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).

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

Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

A self-supervised CNN for image watermark removal (IEEE Transactions on Circuits and Systems for Video 2024)

Simulating quantum circuits with JAX

Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.

A hand-drawn schematic sketch recognizer and converter. Three-Step pipeline: Component detection using traditional image processing; Component classification using a custom trained CNN; Schematic generation using a proprietary generation algorithm.

Generate hierarchical quantum circuits for Neural Architecture Search.

How to Turn Your Knowledge Graph Embeddings into Generative Models

A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.

Generative Quantum Circuits

Quantum error correction code AI-discovery with Jax

Circuitron: Agentic PCB Design Accelerator — Generate, plan, and layout circuits from natural language prompts.

Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-training, alignment), test-time computation, reasoning, safety and robustness (jailbreaking, oversight, uncertainty), representations, interpretability (circuits), etc.