@@ -6,6 +6,10 @@ This repository contains links to two tools, namely [multi-label noise injection
[multi-label noise injection](https://gitlab.tubit.tu-berlin.de/tburgert/multi_label_noise) contains a set of helper functions in order to create noisy multi-label matrices.
[noisifier](https://github.com/akakream/noisifier) allows you to add noise to the labels of your dataset. You can use the noisified dataset in your experiments, also to train your machine learning model robustly against label noise. Your dataset can be single label or multi-label; just create the right type of noisifier and keep adding noise.
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[noisifier](https://github.com/akakream/noisifier) allows you to add noise to the labels of your dataset. You can use the noisified dataset in your experiments, also to train your machine learning model robustly against label noise. Your dataset can be single label or multi-label; just create the right type of noisifier and keep adding noise.
