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David Willingham

Last seen: 1 day ago Active since 2016

Followers: 2   Following: 0

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  • 12 Month Streak
  • Thankful Level 2
  • Thankful Level 1
  • Knowledgeable Level 4
  • Revival Level 2
  • First Answer
  • Personal Best Downloads Level 4
  • GitHub Submissions Level 3
  • 5-Star Galaxy Level 5
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Submitted


MATLAB Deep Learning Model Hub
Discover pretrained models for deep learning in MATLAB

27 days ago | 9 downloads |

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Transformer Models
Deep Learning Transformer models in MATLAB

2 years ago | 121 downloads |

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Submitted


Fault Detection Using Deep Learning Classification
This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition ...

3 years ago | 43 downloads |

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Submitted


Reinforcement Learning for Financial Trading
MATLAB example on how to use Reinforcement Learning for developing a financial trading model

3 years ago | 19 downloads |

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Object Detection Using YOLO v2 Deep-Learning
MATLAB example of deep learning based object detection using Yolo v2.

4 years ago | 53 downloads |

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Submitted


Long Term Energy Forecasting with Econometrics in MATLAB
Dynamic energy demand forecasting using Econometrics (ARIMA/VAR/GARCH)

7 years ago | 22 downloads |

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Submitted


Machine Learning for Mining & Metals
2 examples for Machine Learning for Mining, Regression & Classification

7 years ago | 1 download |

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Submitted


Making Data Analytics for the Mining Industry Simple with MATLAB
Highlights automatically importing assay text data, perform basic statistics & visualization

7 years ago | 4 downloads |

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Parametric Value At Risk
Computes the Parametric Value at Risk for a given Portfolio

7 years ago | 1 download |

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Historical Value At Risk
Calculates Historical Value at Risk for a given portfolio of returns

7 years ago | 3 downloads |

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READMAIL
Imports the text from emails into MATLAB & saves attachments from Microsoft Outlook.

7 years ago | 9 downloads |

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Electricity Load Forecasting for the Australian Market Case Study
This is a case study of forecasting short-term electricity loads for the Australian market.

7 years ago | 19 downloads |

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