https://github.com/shibing624/tools

tools
https://github.com/shibing624/tools

Last synced: 6 months ago
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tools

• Host: GitHub
• URL: https://github.com/shibing624/tools
• Owner: shibing624
• License: apache-2.0
• Created: 2021-10-09T07:00:21.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-01-30T10:11:00.000Z (over 1 year ago)
• Last Synced: 2025-02-08T11:15:37.920Z (8 months ago)
• Language: JavaScript
• Size: 6.79 MB
• Stars: 2
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

          
[![Contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg)](CONTRIBUTING.md)

[![GitHub contributors](https://img.shields.io/github/contributors/shibing624/tools.svg)](https://github.com/shibing624/tools/graphs/contributors)

[![License Apache 2.0](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](LICENSE)

[![python_vesion](https://img.shields.io/badge/Python-3.5%2B-green.svg)](requirements.txt)

[![GitHub issues](https://img.shields.io/github/issues/shibing624/tools.svg)](https://github.com/shibing624/tools/issues)

[![Wechat Group](http://vlog.sfyc.ltd/wechat_everyday/wxgroup_logo.png?imageView2/0/w/60/h/20)](#Contact)

# tools

日常开发中使用的脚手架（tools）

# Feature

1. 本项目是[shibing624/python-tutorial](https://github.com/shibing624/python-tutorial)、[shibing624/nlp-tutorial](https://github.com/shibing624/nlp-tutorial)、[shibing624/textgen](https://github.com/shibing624/textgen)等项目的孵化器

2. 自学自用写的demo集合

3. 技术相关代码集合，包括NLP、CV、Speech、ML、DL、RL等

4. 不保证代码规范，不保证换个环境可运行

# Contact

- Issue(建议)：[![GitHub issues](https://img.shields.io/github/issues/shibing624/tools.svg)](https://github.com/shibing624/tools/issues)

- 邮件我：xuming: xuming624@qq.com

- 微信我： 加我*微信号：xuming624, 备注：个人名称-NLP* 进Python-NLP交流群。



# License

授权协议为 [The Apache License 2.0](/LICENSE)，可免费用做商业用途。请在产品说明中附加tools的链接和授权协议。

# Contribute

项目代码还很粗糙，如果大家对代码有所改进，欢迎提交回本项目，在提交之前，注意以下两点：

 - 在本地进行单元测试

 - 确保所有单测都是通过的

之后即可提交PR

# Reference

1. [Python-100-Days](https://github.com/jackfrued/Python-100-Days)

2. torch的官方demo

3. transformers的官方demo

4. milvus的官方demo