Optimization-Python VS Optimus * 96

Compare Optimization-Python vs Optimus * 96 and see what are their differences.

Optimization-Python

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python (by tirthajyoti)
Optimization linear-programming integer-programming mixed-integer-programming quadratic-programming Scipy convex-optimization
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Optimus * 96

Optimus is a mathematical programming library for Scala. (by vagmcs)
Science and Data analysis Scala Algebra Optimization linear-programming quadratic-programming integer-programming
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Optimization-Python Optimus * 96
1 -
221 142
- -
0.0 0.0
over 2 years ago about 2 months ago
Jupyter Notebook Scala
MIT License GNU Lesser General Public License v3.0 only
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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)
    1 project | /r/CryptoCurrency | 25 Aug 2021
    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.

Optimus * 96

Posts with mentions or reviews of Optimus * 96. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Optimus * 96 yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Optimization-Python and Optimus * 96 you can also consider the following projects:

market-making-backtest - algo trading backtesting on BitMEX

PredictionIO - PredictionIO, a machine learning server for developers and ML engineers.

portfolio_allocation_js - A JavaScript library to allocate and optimize financial portfolios.

Squants - The Scala API for Quantities, Units of Measure and Dimensional Analysis

cocp - Source code for the examples accompanying the paper "Learning convex optimization control policies."

FACTORIE - FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.

JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

Breeze - Breeze is a numerical processing library for Scala.

psi4numpy - Combining Psi4 and Numpy for education and development.

Libra - A dimensional analysis library based on dependent types

analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico

Numsca - numsca is numpy for scala

Optimization-Python vs market-making-backtest Optimus * 96 vs PredictionIO Optimization-Python vs portfolio_allocation_js Optimus * 96 vs Squants Optimization-Python vs cocp Optimus * 96 vs FACTORIE Optimization-Python vs JuMP.jl Optimus * 96 vs Breeze Optimization-Python vs psi4numpy Optimus * 96 vs Libra Optimization-Python vs analisis-numerico-computo-cientifico Optimus * 96 vs Numsca