https://github.com/2catycm/cosmicselection
天择，基于PyTorch的新一代高性能演化计算框架。CosmicSelection: a new generation of high-performance evolutionary computing framework based on PyTorch.
https://github.com/2catycm/cosmicselection
evolutionary-algorithm evolutionary-computation
Last synced: about 2 months ago
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天择，基于PyTorch的新一代高性能演化计算框架。CosmicSelection: a new generation of high-performance evolutionary computing framework based on PyTorch.
- Host: GitHub
- URL: https://github.com/2catycm/cosmicselection
- Owner: 2catycm
- License: apache-2.0
- Created: 2024-10-07T17:07:54.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-10-07T18:31:17.000Z (9 months ago)
- Last Synced: 2024-11-11T03:44:08.091Z (7 months ago)
- Topics: evolutionary-algorithm, evolutionary-computation
- Language: Jupyter Notebook
- Homepage: https://cosmic-selection.vercel.app
- Size: 7.09 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# CosmicSelection
“物竞天择，适者生存。”
“自然选择号，前进四！”
## Developer Guide
If you are new to using `nbdev` here are some useful pointers to get you
started.
### Install CosmicSelection in Development mode
``` sh
# make sure CosmicSelection package is installed in development mode
$ pip install -e .
# make changes under nbs/ directory
# ...
# compile to have changes apply to CosmicSelection
$ nbdev_prepare
```
## Usage
### Installation
Install latest from the GitHub
[repository](https://github.com/2catycm/CosmicSelection):
``` sh
$ pip install git+https://github.com/2catycm/CosmicSelection.git
```
or from [conda](https://anaconda.org/2catycm/CosmicSelection)
``` sh
$ conda install -c 2catycm CosmicSelection
```
or from [pypi](https://pypi.org/project/CosmicSelection/)
``` sh
$ pip install CosmicSelection
```
### Documentation
Documentation can be found hosted on this GitHub
[repository](https://github.com/2catycm/CosmicSelection)’s
[pages](https://2catycm.github.io/CosmicSelection/). Additionally you
can find package manager specific guidelines on
[conda](https://anaconda.org/2catycm/CosmicSelection) and
[pypi](https://pypi.org/project/CosmicSelection/) respectively.
## How to use
Fill me in please! Don’t forget code examples:
``` python
1+1
```
2