deepNOID
BCDU-Net
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deepNOID
BCDU-Net
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[D] Extensions to U-nets
I compared a U-net, BCDU-net, and a U2-net for glacier semantic segmentation which is a pretty easy task. I don't still have the exact numbers, but U2-net was the best. I've also used a U2-net to map geologic structures which is a lot harder and the U2-net did well there too.
What are some alternatives?
muzic - Muzic: Music Understanding and Generation with Artificial Intelligence
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
spektral - Graph Neural Networks with Keras and Tensorflow 2.
U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
DeepMalwareDetector - A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
GlacierSemanticSegmentation - Identify glaciers in satellite images with a U^2-Net
Machine-Learning-Game-Ideas - Game ideas generation using neural networks
perin - PERIN is Permutation-Invariant Semantic Parser developed for MRP 2020
RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
unet - unet for image segmentation
UNetPlusPlus - [IEEE TMI] Official Implementation for UNet++
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.