Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Imgaug | 13,682 | 278 | 141 | 9 months ago | 11 | February 05, 2020 | 295 | mit | Python | |
Image augmentation for machine learning experiments. | ||||||||||
Albumentations | 13,343 | 64 | 273 | 9 days ago | 53 | June 10, 2023 | 391 | mit | Python | |
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125 | ||||||||||
Augmentor | 4,973 | 21 | 8 | 6 months ago | 24 | April 27, 2022 | 137 | mit | Python | |
Image augmentation library in Python for machine learning. | ||||||||||
Sketch Code | 4,714 | a year ago | 30 | Python | ||||||
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images. | ||||||||||
Torchio | 1,904 | 29 | 3 months ago | 245 | November 24, 2023 | 44 | apache-2.0 | Python | ||
Medical imaging toolkit for deep learning | ||||||||||
Torchsample | 1,829 | 6 months ago | 59 | other | Python | |||||
High-Level Training, Data Augmentation, and Utilities for Pytorch | ||||||||||
Byol Pytorch | 1,630 | 1 | 5 months ago | 28 | November 16, 2023 | 40 | mit | Python | ||
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch | ||||||||||
Audiomentations | 1,605 | 5 | 3 months ago | 37 | November 24, 2023 | 46 | mit | Python | ||
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning. | ||||||||||
Pytorch Toolbelt | 1,458 | 1 | 6 | 3 months ago | 27 | June 27, 2022 | 2 | mit | Python | |
PyTorch extensions for fast R&D prototyping and Kaggle farming | ||||||||||
Lightweight Gan | 1,368 | 2 years ago | 99 | August 25, 2022 | 60 | mit | Python | |||
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two |