CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
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Updated
Jul 17, 2025 - Python
CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
This is a deep-learning based model for Electronic Design Automation(EDA), predicting the congestion location.
A real-time traffic monitoring and forecasting system using Kafka, PostgreSQL, Streamlit, and machine learning models (XGBoost & ARIMA) based on Lambda Architecture.
Repository for Data Competition: RISTEK-DATATHON-2023
Applying Graph Neural Networks (GNNs) to predict congestion and analyze resilience in complex logistics hubs. Features dynamic graph modeling, spatio-temporal forecasting, MLOps deployment on GCP Vertex AI, and API integration. Demonstrates end-to-end ML system development.
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