MTL-Homoscedastic-Uncertainty

hardianlawi

Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow

neural-network

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45 Stars

7 Forks

45 Watchers

Jupyter Notebook Language

Cost to Build

$500

Market Value

$676

How is this calculated?

Growth over time

2 data points · 2021-08-07 → 2021-11-21

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What is the hardianlawi/MTL-Homoscedastic-Uncertainty GitHub project? Description: "Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/hardianlawi/MTL-Homoscedastic-Uncertainty.git

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[email protected]:hardianlawi/MTL-Homoscedastic-Uncertainty.git

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Download master.zip

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