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MeiH's repositories

Brain Glioblastoma tumor segmentation with a UNET-like model which is implemented using Keras library.

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Easy to use Qt application to draw bounding boxes for making text file that are needed to train the images with YOLO.

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Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

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Caffe: a fast open framework for deep learning.

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Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

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Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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Train a MaskRcnn model with your custom dataset

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