Deep learning research

Albumentations is widely used in research areas related to computer vision and deep learning. If you find this library useful for your research, please consider citing Albumentations: Fast and Flexible Image Augmentations:
    AUTHOR = {Buslaev, Alexander and Iglovikov, Vladimir I. and Khvedchenya, Eugene and Parinov, Alex and Druzhinin, Mikhail and Kalinin, Alexandr A.},
    TITLE = {Albumentations: Fast and Flexible Image Augmentations},
    JOURNAL = {Information},
    VOLUME = {11},
    YEAR = {2020},
    NUMBER = {2},
    ARTICLE-NUMBER = {125},
    URL = {},
    ISSN = {2078-2489},
    DOI = {10.3390/info11020125}

List of papers that cite Albumentations

- NYQ Abderrahim, S Abderrahim
- D Wu, Y Chen, X Qi, Y Jian, W Chen, R Xiao
49. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
- M Kashiwagi, N Mishima

Machine learning competitions

Open source projects

open-mmlab/mmdetection 10.4k
OpenMMLab Detection Toolbox and Benchmark
catalyst-team/catalyst 2.0k
Accelerated DL R&D
toandaominh1997/EfficientDet.Pytorch 1.3k
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
azavea/raster-vision 1.1k
An open source framework for deep learning on satellite and aerial imagery.
ternaus/robot-surgery-segmentation 482
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
TAMU-VITA/DeblurGANv2 406
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
ZJULearning/ttfnet 301
No description provided.
saic-vul/adaptis 289
[ICCV19] AdaptIS: Adaptive Instance Selection Network,
Media-Smart/vedaseg 283
A semantic segmentation toolbox based on pytorch
SeuTao/kaggle-competition-solutions 219
Kaggle competition solutions