cocp
Optimization-Python
cocp | Optimization-Python | |
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1 | 1 | |
78 | 221 | |
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10.0 | 0.0 | |
over 1 year ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | MIT License |
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cocp
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GPT can tune your PID/LQR controllers
I agree and I think I may be able to do what you propose (using COCP). Will share results once I get some. In general I think GPT can be really powerful in translating human feedback in cost functions and constraints for optimization problems.
Optimization-Python
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What is the best DCA Strategy - Part IV (Dynamic DCA)
One approach to this problem is based on the Nobel prize winning Modern Portfolio Theory (MPT). In fact, there we can use pretty simple code available online: https://github.com/tirthajyoti/Optimization-Python/blob/master/Portfolio_optimization.ipynb. There is a one BIG difference between DCA and MPT though. Here, we do not want to do a one-time purchase and try to gain maximum profit. We are looking at a dual problem, where we want to purchase regularly, while aiming maximum accumulation.
What are some alternatives?
lmpc-py
market-making-backtest - algo trading backtesting on BitMEX
Algorithms-for-Automated-Driving - Each chapter of this (mini-)book guides you in programming one important software component for automated driving.
portfolio_allocation_js - A JavaScript library to allocate and optimize financial portfolios.
analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico
JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
NextFace - A high-fidelity 3D face reconstruction library from monocular RGB image(s)
Optimus * 96 - Optimus is a mathematical programming library for Scala.
swift - Swift for TensorFlow
psi4numpy - Combining Psi4 and Numpy for education and development.
minizinc-python - Access to all MiniZinc functionality directly from Python