Merge branch 'batched-metrics' of https://github.com/davor10105/Quantus…

… into batched-metrics

README.md

@@ -14,24 +14,25 @@
 [![Documentation Status](https://readthedocs.org/projects/quantus/badge/?version=latest)](https://quantus.readthedocs.io/en/latest/?badge=latest)
 [![codecov.io](https://codecov.io/github/understandable-machine-intelligence-lab/Quantus/coverage.svg?branch=master)](https://codecov.io/github/understandable-machine-intelligence-lab/Quantus?branch=master)
 [![Downloads](https://static.pepy.tech/badge/quantus)](https://pepy.tech/project/quantus)
-<!--[![Python package](https://github.com/understandable-machine-intelligence-lab/Quantus/actions/workflows/python-package.yml/badge.svg)](https://github.com/understandable-machine-intelligence-lab/Quantus/actions/workflows/python-package.yml)
-[![Code coverage](https://github.com/understandable-machine-intelligence-lab/Quantus/actions/workflows/codecov.yml/badge.svg)](https://github.com/understandable-machine-intelligence-lab/Quantus/actions/workflows/codecov.yml)-->
+[![Python package](https://github.com/understandable-machine-intelligence-lab/Quantus/actions/workflows/python-package.yml/badge.svg)](https://github.com/understandable-machine-intelligence-lab/Quantus/actions/workflows/python-package.yml)
+[![Code coverage](https://github.com/understandable-machine-intelligence-lab/Quantus/actions/workflows/codecov.yml/badge.svg)](https://github.com/understandable-machine-intelligence-lab/Quantus/actions/workflows/codecov.yml)
+<!---->
 
 _Quantus is currently under active development so carefully note the Quantus release version to ensure reproducibility of your work._
 
 [📑 Shortcut to paper!](https://jmlr.org/papers/volume24/22-0142/22-0142.pdf)
 
-🐼 For **training data attribution** evaluation, check out [quanda](https://github.com/dilyabareeva/quanda)!
-
+If you want to contribute/ improve/ extend Quantus, join our [Discord](https://discord.gg/HB77krUE)!
 ## News and Highlights! :rocket:
 
-- If you want to contribute/ improve/ extend Quantus, join our [Discord](https://discord.gg/HB77krUE)!
+- 🐼 For **training data attribution** evaluation, check out [quanda](https://github.com/dilyabareeva/quanda)!
+- New [batch implementation](https://github.com/understandable-machine-intelligence-lab/Quantus/pull/351) for 12X speedup of existing faithfulness metrics (!)
 - New metrics added: [EfficientMPRT](https://github.com/understandable-machine-intelligence-lab/Quantus/blob/main/quantus/metrics/randomisation/efficient_mprt.py) and [SmoothMPRT](https://github.com/understandable-machine-intelligence-lab/Quantus/blob/main/quantus/metrics/randomisation/smooth_mprt.py) by [Hedström et al., (2023)](https://openreview.net/pdf?id=vVpefYmnsG)
-- Released a new version [here](https://github.com/understandable-machine-intelligence-lab/Quantus/releases) with [Python 3.7 discontinued](https://devguide.python.org/versions/)
 - Accepted to Journal of Machine Learning Research (MLOSS), read the [paper](https://jmlr.org/papers/v24/22-0142.html)
 - Offers more than **35+ metrics in 6 categories** for XAI evaluation
 - Supports different data types (image, time-series, tabular, NLP next up!) and models (PyTorch, TensorFlow)
 - Extended built-in support for explanation methods ([captum](https://captum.ai/), [tf-explain](https://tf-explain.readthedocs.io/en/latest/) and [zennit](https://github.com/chr5tphr/zennit))
+<!--- Released a new version [here](https://github.com/understandable-machine-intelligence-lab/Quantus/releases) with [Python 3.7 discontinued](https://devguide.python.org/versions/)-->
 
 ## Citation