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Name: Angerman
Type: User
Name: Angerman
Type: User
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
π΄Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest π΄θη―ζζ°ηζ¬δΈθ½½ https://github.com/getlantern/forum/issues/833 π΄
Open Source Software Insights - Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 5 billion with natural language (powered by OpenAI). Follow us on Twitter: https://twitter.com/ossinsight
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.
TuShare is a utility for crawling historical data of China stocks
ge zhong xiao shuo
Your new Mentor for Data Science E-Learning.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.