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David Willingham

Last seen: Today Aktiv seit 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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  • First Submission

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

30 Tage vor | 9 Downloads |

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Transformer Models
Deep Learning Transformer models in MATLAB

etwa 2 Jahre vor | 119 Downloads |

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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 ...

etwa 3 Jahre vor | 48 Downloads |

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

etwa 3 Jahre vor | 19 Downloads |

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

etwa 4 Jahre vor | 53 Downloads |

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

mehr als 7 Jahre vor | 25 Downloads |

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

mehr als 7 Jahre vor | 1 Download |

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

mehr als 7 Jahre vor | 1 Download |

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

mehr als 7 Jahre vor | 1 Download |

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

mehr als 7 Jahre vor | 3 Downloads |

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

mehr als 7 Jahre vor | 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.

mehr als 7 Jahre vor | 21 Downloads |

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