Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Cs Interview Knowledge Map | 17,020 | 3 years ago | 40 | |||||||
Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc. | ||||||||||
Scipy | 11,290 | 43,431 | 14,796 | 14 hours ago | 83 | July 05, 2022 | 1,657 | bsd-3-clause | Python | |
SciPy library main repository | ||||||||||
Hyperopt | 6,700 | 252 | 168 | a month ago | 13 | November 17, 2021 | 390 | other | Python | |
Distributed Asynchronous Hyperparameter Optimization in Python | ||||||||||
Scikit Opt | 3,820 | 3 | 3 | 3 months ago | 23 | January 14, 2022 | 53 | mit | Python | |
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman) | ||||||||||
Learn2learn | 2,249 | 1 | 13 hours ago | 18 | February 10, 2022 | 13 | mit | Python | ||
A PyTorch Library for Meta-learning Research | ||||||||||
Awesome Quantum Machine Learning | 2,206 | 3 months ago | 8 | cc0-1.0 | HTML | |||||
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web | ||||||||||
Geneticalgorithmpython | 1,321 | 6 | 18 days ago | 46 | February 03, 2022 | 58 | bsd-3-clause | Python | ||
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch). | ||||||||||
Spearmint | 1,310 | 6 years ago | 47 | Python | ||||||
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012 | ||||||||||
Beautifulalgorithms.jl | 1,246 | a month ago | 6 | Julia | ||||||
Concise and beautiful algorithms written in Julia | ||||||||||
Advisor | 1,202 | 4 years ago | 5 | October 04, 2018 | 19 | apache-2.0 | Jupyter Notebook | |||
Open-source implementation of Google Vizier for hyper parameters tuning |
This Version of the PaGMO code is no longer developed nor maintained. Pagmo 2 is now developed and released, find the code here: esa/pagmo2. Updating from pagmo to pagmo2 is not trivial as the API has changed.
Parallel Global Multiobjective Optimizer (and its Python alter ego PyGMO) offers a user-friendly access to a wide array of global and local optimization algorithms and problems. The main purpose of the software is to provide a parallelization engine common to all algorithms through the 'generalized island model'. Initially developed within the European Space Agency, the code was intended to help the automated design of interplanetary trajectories and spacecraft transfers in general. The user can implement his own problem and algorithm both in C++ and in Python.
Check the doxygen for PaGMO at http://esa.github.io/pagmo
Check the sphinx for PyGMO (the PaGMO Python bindings) at http://esa.github.io/pygmo