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/
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 )
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
Image augmentation for machine learning experiments.
https://github.com/aleju/imgaug This one is way better for image.
[UPDATE!] Recognize trinkets with Isaac Item Recognizer! And also a few useful features in my newest update.
1 project | reddit.com/r/bindingofisaac | 13 Jun 2021
Bounding boxes do not completely wrap the objects with YOLOv4
1 project | reddit.com/r/deeplearning | 6 Feb 2021
Data augmentation strategies for object detection? Could you point me to good resources or best practices you know of?
1 project | reddit.com/r/computervision | 30 Oct 2021
Albumentations 1.1.0 Was Released
1 project | news.ycombinator.com | 5 Oct 2021
Optimization for semantic segmentation!
1 project | reddit.com/r/deeplearning | 6 Sep 2021