Anomalydetectiononrisk
Thesis project about Unsupervised anomaly detection on the streaming time-series data of porfolio risk measures and returns.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Neural Net With Financial Time Series Data | 723 | 3 years ago | 6 | Jupyter Notebook | ||||||
| This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow | ||||||||||
| Stock Prediction Deep Neural Learning | 385 | 4 months ago | cc0-1.0 | Jupyter Notebook | ||||||
| Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting | ||||||||||
| Machine Learning And Ai In Trading | 169 | 4 years ago | 1 | Python | ||||||
| Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std. | ||||||||||
| Treasurebot | 62 | 6 years ago | 2 | Python | ||||||
| A bot for financial signal | ||||||||||
| Wsae Lstm | 61 | 2 years ago | 27 | other | Jupyter Notebook | |||||
| implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017) | ||||||||||
| Sequence To Sequence Learning Of Financial Time Series In Algorithmic Trading | 61 | 3 years ago | cc-by-4.0 | TeX | ||||||
| My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓 | ||||||||||
| Pytorch Gan Timeseries | 47 | 5 years ago | 2 | Python | ||||||
| GANs for time series generation in pytorch | ||||||||||
| Sequence Labeling | 42 | 6 years ago | 3 | Python | ||||||
| Rnn Stocks Prediction | 30 | 6 years ago | 1 | Jupyter Notebook | ||||||
| Another attempt to use Deep-Learning in the financial markets | ||||||||||
| Stocky | 25 | 7 years ago | Python | |||||||
| Machine Learning Stock Trading Risk Analysis (Spring 2017) | ||||||||||
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Python
Finance
Lstm
Anomaly Detection