Optimization-Python
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python (by tirthajyoti)
psi4numpy
Combining Psi4 and Numpy for education and development. (by psi4)
Optimization-Python | psi4numpy | |
---|---|---|
1 | 1 | |
221 | 324 | |
- | 1.5% | |
0.0 | 3.7 | |
over 2 years ago | 4 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Optimization-Python
Posts with mentions or reviews of Optimization-Python.
We have used some of these posts to build our list of alternatives
and similar projects.
-
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.
psi4numpy
Posts with mentions or reviews of psi4numpy.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Python based geometrical optimization of water molecule [For learning]
Perhaps you might be interested in PySCF or psi4numpy?
What are some alternatives?
When comparing Optimization-Python and psi4numpy you can also consider the following projects:
market-making-backtest - algo trading backtesting on BitMEX
alphalens - Performance analysis of predictive (alpha) stock factors
portfolio_allocation_js - A JavaScript library to allocate and optimize financial portfolios.
cocp - Source code for the examples accompanying the paper "Learning convex optimization control policies."
JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Optimus * 96 - Optimus is a mathematical programming library for Scala.
analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico
minizinc-python - Access to all MiniZinc functionality directly from Python
notebooks - Optimization notebooks
Optimization-Python vs market-making-backtest
psi4numpy vs alphalens
Optimization-Python vs portfolio_allocation_js
Optimization-Python vs cocp
Optimization-Python vs JuMP.jl
Optimization-Python vs Optimus * 96
Optimization-Python vs analisis-numerico-computo-cientifico
Optimization-Python vs minizinc-python
Optimization-Python vs notebooks