borisbanushev / 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.
RepositoryStats indexes 598,732 repositories, of these borisbanushev/stockpredictionai is ranked #11,103 (98th percentile) for total stargazers, and #4,428 for total watchers.
borisbanushev/stockpredictionai has 67 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.
Github issues are enabled, there are 292 open issues and 7 closed issues.
Star History
Github stargazers over time
Watcher History
Github watchers over time, collection started in '23
Recent Commit History
0 commits on the default branch (master) since jan '22
No recent commits to this repository
Yearly Commits
Commits to the default branch (master) per year
Issue History
Languages
We don't have any language data for this repository
It's a mystery
updated: 2024-12-30 @ 08:22pm, id: 164816947 / R_kgDOCdLoMw