# Evolutionary-Intelligence/pypop

<https://repo.masters-masters.com/en/repos/Evolutionary-Intelligence/pypop>

[Home](https://repo.masters-masters.com/en) › [Evolutionary-Intelligence](https://repo.masters-masters.com/en/owners/Evolutionary-Intelligence) › [pypop](https://repo.masters-masters.com/en/repos/Evolutionary-Intelligence/pypop)

Evolutionary-Intelligence/pypop has 291 stars on GitHub. Its RepoMasters card: Alpha tier. \[JMLR (CCF-A)\] PyPop7: A Pure-PYthon LibrarY for POPulation-based…

| Field | Value |
| --- | --- |
| Owner | [Evolutionary-Intelligence](https://repo.masters-masters.com/en/owners/Evolutionary-Intelligence) |
| Stars | 291 |
| Forks | 41 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | black-box-optimization, large-scale-optimization, population-based-optimization, evolutionary-algorithms, random-search, zeroth-order-optimization, gradient-free-optimization, derivative-free-optimization, continuous-optimization, direct-search |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Evolutionary-Intelligence/pypop](https://github.com/Evolutionary-Intelligence/pypop) |

## Repository

\[JMLR (CCF-A)\] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially \*Large-Scale\* algorithm variants. In the near future, we will add Learning-Based Optimizers as its extensions. \[https://jmlr.org/papers/v25/23-0386.html\]

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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