U-Net: Convolutional Networks for Biomedical Image Segmentation
MIT License
PyTorch extensions for fast R&D prototyping and Kaggle farming
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
2nd Place Solution for the RSNA 2023 Abdominal Trauma Detection Kaggle Competition
A python library built to empower developers to build applications and systems with self-contain...
Part of the 5th place solution for the Kaggle RSNA Intracranial Hemorrhage Detection Competition
My try at solving the Driver Telematics problem on Kaggle using neural networks
UNet deep learning model for medical image segmentation
Solution for the Sartorius - Cell Instance Segmentation competition
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Atten...
Keras implementation of RetinaNet object detection.
Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". T...
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Implementation of EfficientNet model. Keras and TensorFlow Keras.
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such...
Kaggle ultrasound nerve segmentation using Keras