Pinned Repositories
996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
lantern
🔴Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴蓝灯最新版本下载 https://github.com/getlantern/forum/issues/833 🔴
modeling-thinking
ossinsight
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
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.
tushare
TuShare is a utility for crawling historical data of China stocks
txt_files
ge zhong xiao shuo
Virgilio
Your new Mentor for Data Science E-Learning.
jwj911's Repositories
jwj911/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
jwj911/lantern
🔴Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴蓝灯最新版本下载 https://github.com/getlantern/forum/issues/833 🔴
jwj911/modeling-thinking
jwj911/ossinsight
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
jwj911/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.
jwj911/tushare
TuShare is a utility for crawling historical data of China stocks
jwj911/txt_files
ge zhong xiao shuo
jwj911/Virgilio
Your new Mentor for Data Science E-Learning.