Machine learning pipeline for detection of X-ray cavities on Chandra images of early-type galaxies and galaxy clusters.
MIT License
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Industry-strength Computer Vision workflows with Keras
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
A curated list of dedicated resources and applications
A library that includes pure TF/Keras preprocessing and augmentation layers, providing support fo...
A deep learning python package for neuroimaging data. Made by:
Techniques for deep learning with satellite & aerial imagery
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacec...
Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.
Interpretability Methods for tf.keras models with Tensorflow 2.x
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test ...
Deep Learning Based Cell Segmentation
A collection of computer vision pre-trained models.
Advanced Deep Learning with Keras, published by Packt
Implementation of DreamBooth in KerasCV and TensorFlow.