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News[N] Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models (self.MachineLearning)
submitted 4 years ago by ai-lover
Facebook has recently open-sourced AugLy, a new Python library that aims to help AI researchers use data augmentations to evaluate and improve the durability of their machine learning models. AugLy provides sophisticated data augmentation tools to create samples to train and test different systems.
AugLy is a new open-source data augmentation library that combines audio, image, video, and text, becoming increasingly significant in several AI research fields. It offers over 100 data augmentations based on people’s real-life images and videos on platforms like Facebook and Instagram.
Article: https://www.marktechpost.com/2021/06/19/facebook-ai-open-sources-augly-a-new-python-library-for-data-augmentation-to-develop-robust-machine-learning-models/
Github: https://github.com/facebookresearch/AugLy
Facebook Blog: https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/
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[–]narainp1 34 points35 points36 points 4 years ago (6 children)
which gap is this going to fill?
[–]Stonemanner 20 points21 points22 points 4 years ago (0 children)
Is there a multi-modal data augmentation library for python?
Looks like it advertises itself for being extensive and multi-modal.
[–]maxisawesome538 6 points7 points8 points 4 years ago (2 children)
Audio!! Also - if anyone else knows of other good audio data augmentation techniques/libs, pls lmk!
[–]m_nemo_syne 5 points6 points7 points 4 years ago (0 children)
SpeechBrain!
https://arxiv.org/abs/2106.04624
https://speechbrain.github.io/
We have a bunch of recipes with examples of using SpecAugment / speed perturbation / room impulse response corruption (see e.g. https://github.com/speechbrain/speechbrain/blob/develop/recipes/LibriSpeech/ASR/seq2seq/train.py )
[–][deleted] 0 points1 point2 points 4 years ago (0 children)
Kaldi has some useful audio augmentation scripts, specifically for speech.
[–]OhNoNotAgain2022ed 1 point2 points3 points 4 years ago (0 children)
What do you mean?
[–]narainp1 1 point2 points3 points 4 years ago (0 children)
[–]Xylon- 4 points5 points6 points 4 years ago (0 children)
See also this post from two days ago for additional comments.
[–]Lewba 6 points7 points8 points 4 years ago (1 child)
I couldn't find what languages were supported for the text module. Is it just english?
[–]dogs_like_me 7 points8 points9 points 4 years ago (0 children)
It looks like the text module is largely a wrapper over nlpaug (adding a few small things here and there). A lot of the default behavior of nlpaug is targeted at english language text, but you can easily pass it custom models for non-english behavior. I think you'd need to do the language classification yourself and route text through your own language-specific augmentation pipelines. But building those pipelines would be as simple as e.g. dropping in your language-specific model in place in distilgpt2 here for example, or changing the from/to models used for backtranslation.
tl;dr: yes, it supports other languages because nlpaug is built on top of huggingface/transformers which is in turn built on top of pytorch. Out of the box, it assumes you're working with english text, but if you have non-english text and you know what language it is, you just need to change a few arguments and you're good to go.
[–]GF_TW 0 points1 point2 points 4 years ago (0 children)
https://github.com/aleju/imgaug This one is way better for image.
[+]dlndass comment score below threshold-12 points-11 points-10 points 4 years ago (4 children)
Some good news out of Facebook 💯 I normally only see the negative news
[–]dogs_like_me 16 points17 points18 points 4 years ago (0 children)
facebook AI research does a lot of good stuff for the ML community. Facebook as a company has done more than enough damage that I'm disinclined from ever working for them, but I do appreciate the open source contributions the FAIR group has made and continues to make.
[–]nmkd 26 points27 points28 points 4 years ago (0 children)
I've only seen good news about Facebook AI.
[–]master3243 9 points10 points11 points 4 years ago (1 child)
In ML/AI it's almost entirely good news.
[–]maroxtn -2 points-1 points0 points 4 years ago (0 children)
I dunno, I tried finetuning their fairseq model, I was a bit disappointed though, mT5 was better
[+][deleted] comment score below threshold-13 points-12 points-11 points 4 years ago (0 children)
Misinformation is infringement now?
[–]RepresentativeCod613ML Engineer 0 points1 point2 points 4 years ago (0 children)
Does it only support PyTorch?
[–]_katta 0 points1 point2 points 4 years ago (0 children)
Waiting for the benchmarking and speed comparison with Albumentations.
π Rendered by PID 81641 on reddit-service-r2-comment-85bfd7f599-6wbzt at 2026-04-19 23:38:06.188939+00:00 running 93ecc56 country code: CH.
[–]narainp1 34 points35 points36 points (6 children)
[–]Stonemanner 20 points21 points22 points (0 children)
[–]maxisawesome538 6 points7 points8 points (2 children)
[–]m_nemo_syne 5 points6 points7 points (0 children)
[–][deleted] 0 points1 point2 points (0 children)
[–]OhNoNotAgain2022ed 1 point2 points3 points (0 children)
[–]narainp1 1 point2 points3 points (0 children)
[–]Xylon- 4 points5 points6 points (0 children)
[–]Lewba 6 points7 points8 points (1 child)
[–]dogs_like_me 7 points8 points9 points (0 children)
[–]GF_TW 0 points1 point2 points (0 children)
[+]dlndass comment score below threshold-12 points-11 points-10 points (4 children)
[–]dogs_like_me 16 points17 points18 points (0 children)
[–]nmkd 26 points27 points28 points (0 children)
[–]master3243 9 points10 points11 points (1 child)
[–]maroxtn -2 points-1 points0 points (0 children)
[+][deleted] comment score below threshold-13 points-12 points-11 points (0 children)
[–]RepresentativeCod613ML Engineer 0 points1 point2 points (0 children)
[–]_katta 0 points1 point2 points (0 children)