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runchen song's Projects

aimusic icon aimusic

这个项目是通过用tensorflow来生成曲谱的

antlr4 icon antlr4

ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

bootstrap icon bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

breeze icon breeze

Wise2C ansible playbook for Kubernetes cluster installation

chatgpt-on-wechat icon chatgpt-on-wechat

使用ChatGPT搭建微信聊天机器人,基于ChatGPT3.5 API和itchat实现。Wechat robot based on ChatGPT, which using OpenAI api and itchat library.

dash icon dash

Interactive, Reactive Web Apps for Python. Dash Is Productive™

easyscheduler icon easyscheduler

Easy Scheduler是一个分布式工作流任务调度系统,主要解决数据研发ETL错综复杂的依赖关系,而不能直观监控任务健康状态等问题。Easy Scheduler以DAG流式的方式将Task组装起来,可实时监控任务的运行状态,同时支持重试、从指定节点恢复失败、暂停及Kill任务等操作。EasyScheduler由在工作流调度方面工作多年的多位小伙伴研发而成,致力于成为大数据平台的中流砥柱,使调度变得更加容易,更可以从其中文名“易调度”看出我们的初衷,如果你对目前市面上的调度不够满意,非常欢迎使用易调度,欢迎大家加入进来,提出需求,也欢迎贡献代码

echarts icon echarts

A powerful, interactive charting and visualization library for browser

hanlp icon hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁

infer icon infer

A static analyzer for Java, C, C++, and Objective-C

itchat icon itchat

A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信,三十行即可自定义个人号机器人。

itchatmp icon itchatmp

A complete and graceful API for wechat mp. 完备优雅的微信公众号接口,原生支持同步、协程使用。

metabase icon metabase

The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

nocode icon nocode

The best way to write secure and reliable applications. Write nothing; deploy nowhere.

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

plotly.py icon plotly.py

An open-source, interactive graphing library for Python (includes Plotly Express) :sparkles:

prophet icon prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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