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Benchmarks for the Optimal Power Flow Problem with HVDC Lines
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Seamlessly integrate LLMs into scikit-learn.
A Jupyter widget using sigma.js to render interactive networks.
The interactive graphing library for Python ✨
这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容
Open-source demos hosted on Dash Gallery
Visualize large time series data with plotly.py
♾ A Graph Visualization Framework in JavaScript.
The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver
pycity_scheduling - A Python framework for the development and assessment of optimization-based power scheduling algorithms for multi-energy systems in city districts. To cite this Original Softwar…
Convex Over and Under Envelopes for Nonlinear Estimation
Comparison of Power Flow and Transmission Loss Models in Coordinated Capacity Expansion Problems
Formulate trained predictors in Gurobi models
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A block-structured optimization framework for JuMP
About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, 2023. https://www.nature.com/articles/s42256-023-00667-9
This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'
DISROPT: A Python framework for distributed optimization
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
An official implementation of Pangu-Weather