u-net-pytorch
There are 1 repository under u-net-pytorch topic.
FengheTan9 / MobileUtr
Official Pytorch Code base for "MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation"
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- Language:Python 27
sraashis / retinal-fundus-transfer
An example of easytorch implementation on retinal vessel segmentation.
Language:Python 26connorlee77 / seasonally-invariant-image-transform
Model training code for "A seasonally invariant deep transform for visual terrain-relative navigation"
Language:Python 22rmsandu / FFHQ-detect-face-wrinkles
Train a U-net model for pixel-wise segmentation of facial wrinkles. Based on FFHQ dataset.
Language:Python 11- Language:Jupyter Notebook 7
Lawrence-Leung / YogurtNet
Entries for the 2023 5th National College Student Integrated Circuit EDA Elite Challenge. SoC chip physical layout static IR drop prediction project based on methods such as image processing and NLP unsupervised learning.
Language:Python 6samirapakravan / segmentation_uq
Monte Carlo dropout method for uncertainty quantification in image segmentation
Language:Python 6bereketeshete / U-NET-for-Super-Resolution-of-Microscopy-Images
Utilizing U-NET deep-learning to deconvolve Structured Illumination Microscopy (SIM) Images. A clean and concise python implemenation.
Language:Jupyter Notebook 4LLeiSong / hrlcm
Land cover classification in Tanzania using ensemble labels and high resolution Planet NICFI basemaps and Sentinel-1 time series.
Language:Python 4lxaw / mamba-tumor-seg
Segmentation of cancerous tumors using Mamba. Code, resources, and paper provided. We manage to make a small (42k param) model that can segment pretty well.
Language:Jupyter Notebook 4srijanpal07 / 3D-Semantic-Segmentation-From-2D-Images
Transforming 2D images into 3D semantically segmented scenes using innovative CNN architecture and COLMAP reconstruction.
Language:Jupyter Notebook 4arrafi-musabbir / 3D-Universal-U-Net-for-Multi-Domain-Medical-Image-Segmentation
MICCAI2019: 3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation
Language:Python 3PrasunDatta / Multimodal-Brain-Tumor-Segmenatation-BraTS-2020
This research work basically highlights my undergrad thesis works. In my thesis, I have worked on the BraTS 2020 dataset. My total journey of thesis from building various models to writing paper is presented here.
Language:Jupyter Notebook 2SylwiaNowakowska / Hippocampus_Segmentation_for_Alzheimer-s_Progression
U-Net algorithm for segmentation of Hippocampus from MRI brain scans for quantification of Alzheimer's Disease Progression.
Language:Jupyter Notebook 2Ananas1Anass / RealTime-HairColorChange
Implementation of U-net and pipeline of changing color on human hair.
Language:Python 1- Language:Jupyter Notebook 1
CodeKnight314 / UNet-Image-Denoising
Standard U-Net based image denoising on COCO Dataset
Language:Python 1cpheidelberg / proj_buddingCRC-MIL-pytorch
U-Net based segmentation of CRC tiles and classification for nodal status
Language:Python 1Hadley-Dixon / MicroscopyImages
Machine learning algorithm that identifies how many cells appear in a given microscopy image with a corresponding segmentation mask
Language:Python 1Jewelry-x / Modular-U-Net
Modular PyTorch U-Net model
Language:Python 1JohannesBroens / Automatic-Satelitte-Island-Discovery
Project outside of course scope at (BSc) Machine Learning and Data Science education programme. Colab between NGI and DIKU at University of Copenhagen.
Language:Jupyter Notebook 1LinsamYoung / Semantic_Segmentation
基于ResNet改进U-Net，融合注意力机制和ASPP模块，实现多类别语义分割。Improve U-Net based on ResNet, integrate attention mechanism and ASPP module, and realize multi-category semantic segmentation.
Language:Jupyter Notebook 1msmrexe / pytorch-vae-image-colorization
A PyTorch implementation of a Variational Autoencoder (VAE) with a U-Net architecture, self-attention, and perceptual loss to colorize grayscale images of birds.
Language:Python 1musfiquejim / EnACP-A-Hybrid-Machine-Learning-Framework-for-Detecting-Anticancer-Peptides
EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।
Language:Shell 1SimoneFaraulo / Autoencoder-based-onboard-image-segmentation
Semantic segmentation of onboard images in rural environments using an autoencoder architecture. Trained on the Yamaha-CMU Off-Road Dataset , with K-Fold validation and evaluation based on loss and mIoU.
Language:Jupyter Notebook 1ErfanFathi / prostate-segmentation-unet
Prostate Segmentation using U-Net Model
Language:Jupyter Notebook 0Fayzan03 / Image_Analysis
Applying a range of classical and ML techniques on a collection of butterfly images.
Language:Jupyter Notebook 0finallyupper / pytorch-U-Net
Pytorch Implementation of U-Net on Cityscapes Dataset
Language:Python 0Lalasa1234 / WaterBody_SemanticSegmentation
Semantically segments the water body from satellite imagery
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MederosBarrera-Antonio / CymoHub
CymoHub: U-Net, Attention U-Net and Pix2Pix for Seagrass Mapping using WorldView Satellite Imagery
Language:Jupyter Notebookmwheeler235 / its-bananas
Custom Stable Diffusion pipeline, leveraging CLIP, VAE, U-Net, and LMS, that generates images from text prompts and transforms existing images using PyTorch, optimized for Apple Silicon Macs
Language:Jupyter Notebooksaranshhalwai / ImageColouriser
Takes a black and white image, and converts it into a colour image. Based on the U-net model.
Language:PythonShojiyao12 / GroceryNet_WebApplication
A GroceryNet application built using Streamlit for the classification and segmentation of grocery product images. The system leverages a multicolor dual-input CNN model with parallel U-Net architecture and pre-trained ResNeXt50_32x4d encoders. It uses the Hierarchical Grocery Store Dataset for training and evaluation.
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