Parametrize.Net VS biteopt

Compare Parametrize.Net vs biteopt and see what are their differences.

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Parametrize.Net biteopt
2 2
23 127
- -
7.5 6.0
over 2 years ago 2 months ago
C# C++
MIT License GNU General Public License v3.0 or later
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.

Parametrize.Net

Posts with mentions or reviews of Parametrize.Net. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-10.

biteopt

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

What are some alternatives?

When comparing Parametrize.Net and biteopt you can also consider the following projects:

Parameterize.Net - Parameterize.Net is a library that allows developers to represent complex objects using float array.

SpeciaLUT - Runtime choosing of template specializations using compile-time lookup-tables. Compile all states of a template function, but execute the optimal one at runtime.

hego - Metaheuristics / Blackbox Optimization Algorithms for Go: Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Tabu Search, Particle Swarm Optimization ...

OrangeC - OrangeC Compiler And Tool Chain

geneal - A genetic algorithm implementation in python

LazyMath - Complex Conjugate Gradient linear solver and Levenberg-Marquardt minimizer with and without constraints in C++

mu8 - Genetic algorithm for unsupervised machine learning in Go.

palanteer - Visual Python and C++ nanosecond profiler, logger, tests enabler

zoofs - zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

shenanigans - Semi-random funky stuff, mainly for my PhD experiments and articles. Contains calculations and algorithm implementations for various applied mathematics and astrophysics articles I worked on.