Quantus

understandable-machine-intelligence-lab

[JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

tensorflow

View on GitHub Website

671 Stars

91 Forks

8 Watchers

Jupyter Notebook Language

other License

100 SrcLog Score

Cost to Build

$896.6K

Market Value

$3.62M

How is this calculated?

Growth over time

4 data points · 2023-03-01 → 2026-07-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about Quantus

Question copied to clipboard

What is the understandable-machine-intelligence-lab/Quantus GitHub project? Description: "[JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations". Written in Jupyter Notebook. 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 Quantus

Clone via HTTPS

git clone https://github.com/understandable-machine-intelligence-lab/Quantus.git

Clone via SSH

[email protected]:understandable-machine-intelligence-lab/Quantus.git

Download ZIP

Download main.zip

Found an issue?

Report bugs or request features on the Quantus issue tracker:

Open GitHub Issues

Similar to Quantus

tensorflow keras TensorFlow-Examples gold-miner data-science-ipython-notebooks handson-ml tflearn EffectiveTensorflow DeepSpeech Mask_RCNN stanford-tensorflow-tutorials facenet TensorFlow-Tutorials DCGAN-tensorflow keras-js kubeflow TensorLayer deepo seq2seq TensorFlow-Book tutorials TensorFlow-World edward generative-models tensorflow_cookbook darkflow horovod CapsNet-Tensorflow tensorflow-docs pipeline