[N] Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  1. AugLy

    A data augmentations library for audio, image, text, and video.

    Facebook Blog: https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. speechbrain

    A PyTorch-based Speech Toolkit

    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 )

  4. imgaug

    Image augmentation for machine learning experiments.

    https://github.com/aleju/imgaug This one is way better for image.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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