MultimediaRegressionModels

Deep Learning and Decision Trees Ensemble Methods based Audiovisual Perceived Quality Models. These models are based on the INRS audiovisual quality dataset that can be found on this GitHub repository.

quality models

View on GitHub

0 Stars

0 Forks

1 Watchers

Python Language

3 SrcLog Score

Cost to Build

$2.74M

Market Value

$238.5K

How is this calculated?

Growth over time

14 data points · 2021-08-01 → 2026-08-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about MultimediaRegressionModels

Question copied to clipboard

What is the edipdemirbilek/MultimediaRegressionModels GitHub project? Description: "Deep Learning and Decision Trees Ensemble Methods based Audiovisual Perceived Quality Models. These models are based on the INRS audiovisual quality dataset that can be found on this GitHub repository.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone MultimediaRegressionModels

Clone via HTTPS

git clone https://github.com/edipdemirbilek/MultimediaRegressionModels.git

Clone via SSH

[email protected]:edipdemirbilek/MultimediaRegressionModels.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the MultimediaRegressionModels issue tracker:

Open GitHub Issues

Similar to MultimediaRegressionModels

django Awesome-CoreML-Models ardent laravel-model-caching Coolie acts_as_api plank vue-mc vectiler models spacy-models jsonmodels dynamic-training-bench laravel-model-cleanup sourced django-behaviors chainer-fast-neuralstyle-models NestedTypes gama.old hydro-serving felicity reobject tango vue-example Pytorch-Model-Zoo models osprey ImageRecognizer-Android COLLADAViewer2 Torch-Models