Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Keras implementations of Generative Adversarial Networks.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

End-to-end learning of deep visual representations for image retrieval

Implementing Transfer Learning for custom data using VGG-16 and Resnet-50

Python implementation of "Efficient Graph-Based Image Segmentation" paper

VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.