market_risk_gan_tensorflow
Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow. (by hamaadshah)
market_risk_gan_keras
Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow. [Moved to: https://github.com/hamaadshah/market_risk_gan_tensorflow] (by hamaadshah)
| market_risk_gan_tensorflow | market_risk_gan_keras | |
|---|---|---|
| 1 | 6 | |
| 76 | 59 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | almost 2 years ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
market_risk_gan_tensorflow
Posts with mentions or reviews of market_risk_gan_tensorflow.
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market_risk_gan_keras
Posts with mentions or reviews of market_risk_gan_keras.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing market_risk_gan_tensorflow and market_risk_gan_keras you can also consider the following projects:
DataScienceProjects
FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling - Repository for my Master's Thesis "Application of Machine Learning Models within Credit Risk Modelling" at Faculty of Finance and Accounting, Prague University of Economics and Prague (FFÚ VŠE)