A research toolkit for particle swarm optimization in Python
-
Updated
Oct 3, 2020 - Python
{{ message }}
A research toolkit for particle swarm optimization in Python
A Genetic Algorithm Framework in Python (This repo is for learning purpose, NOT production)
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
L-BFGS-B for TensorFlow or pure C++11 and other optimization methods
船长关于机器学习、计算机视觉和工程技术的总结和分享
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A curated list of awesome links and software libraries that are useful for robots.
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
oj! Algorithms
Unconstrained function minimization in Javascript
Curvature Filters are efficient solvers for Variational Models
Reinforcement learning with A* and a deep heuristic
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.
Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
Image-processing software for cryo-electron microscopy
Currently checkpoints can only be written to disk. It would be better if users could write their own checkpointing mechanisms. In order to do so, a checkpointing trait should be defined. This could be implemented similar to [observers](https://github.com/argmin-rs/argmin/blob/master/s
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
Sparse Optimisation Research Code
Visualize Tensorflow's optimizers.
Collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
Python microframework for building nature-inspired algorithms. Official docs: http://niapy.readthedocs.io/en/stable/
Matlab and Python toolbox for fast Total Variation proximity operators
MATLAB library for non-negative matrix factorization (NMF): Version 1.8.0
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.17
The GRID entity must use the input parameter machinery.
This review should occur before any development is performed as a response to this issue.
Many typeclasses should have the correct annotation applied to provide better errors to users.
Algorithmic trading strategies
Add a description, image, and links to the optimization-algorithms topic page so that developers can more easily learn about it.
To associate your repository with the optimization-algorithms topic, visit your repo's landing page and select "manage topics."
PR #149 implements the NSGA2 optimizer, this issue is a prompt to add other multi-objective optimizers like:
etc.
More information on the various methods o