Open-Source Modeling
Projects.OpenSourceModeling History
Hide minor edits - Show changes to markup
- Hedengren, J.D., Nicholson, B., Open-Source Modeling Platforms, Keynote Talk at FOCAPO / CPC 2023, San Antonio, TX, 8-12 January 2023. Paper
- Hedengren, J.D., Nicholson, B., Open-Source Modeling Platforms, Keynote Talk at FOCAPO / CPC 2023, San Antonio, TX, 8-12 January 2023. Paper | Presentation
- Gunnell, L., Nicholson, B., Hedengren, J.D., Equation-based and data-driven modeling: Open-source software current state and future directions, Computers & Chemical Engineering, 2024, 108521, ISSN 0098-1354, DOI: 10.1016/j.compchemeng.2023.108521. Preprint | Article
Propose a New Project to contribute technical or financial support for an open-source modeling platform.
- Hedengren, J.D., Nicholson, B., Open-Source Modeling Platforms, Keynote Talk at FOCAPO / CPC 2023, San Antonio, TX, 8-12 January 2023. Paper
Open-source modeling languages are essential tools for data analysis and scientific computing. Pyomo, Gekko, CasADi, and JuMP are mathematical programming languages for optimization problems. TensorFlow and PyTorch are used for machine learning and deep learning. JAX is a numerical library for high-performance machine learning research. Scikit-learn is a machine learning library for Python that provides simple and efficient tools for data mining and data analysis.
Open-source modeling languages are essential tools for data analysis and scientific computing. Pyomo, Gekko, CasADi, and JuMP are mathematical programming languages for optimization problems. TensorFlow and PyTorch are used for machine learning and deep learning. JAX is a numerical library for high-performance machine learning research. Scikit-learn is a machine learning library for Python that provides simple and efficient tools for data mining and data analysis.