Guillaume Mougeot (GuillaumeMougeot)

GuillaumeMougeot

Geek Repo

Company:Aarhus University

Location:Aarhus

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Guillaume Mougeot's repositories

DogFaceNet

FaceNet implementation for dog identification

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biom3d

Easy Volumetric Segmentation with Deep Learning

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mmcv

OpenMMLab Computer Vision Foundation

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biosphere-biom3d

Appliance Biosphere for biom3d

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cellpose

a generalist algorithm for cellular segmentation

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deepcell-tf

Deep Learning Library for Single Cell Analysis

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deepscopie

for a tutorial

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deploy_package_tuto

deploy python package tutorial

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keras-gui

A GUI for Keras framework!

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docker-example-omero-websockets

Example of exposing OMERO.servers over Ice-based websockets

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fasterflow_old

[ARCHIVE] Old version of fasterflow using Tensorflow 1.15

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latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

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Lite-HRNet

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

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Mask_RCNN

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

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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ModelsGenesis

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

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MONAI

AI Toolkit for Healthcare Imaging

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NuSeT

NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells

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pytorch_active_learning

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

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QCANet

Convolutional Neural Network-Based Instance Segmentation Algorithm to Acquire Quantitative Criteria of Early Mouse Development

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seq_ppi

Protein-protein interaction from https://github.com/muhaochen/seq_ppi

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simple-omero-client

Maven project to easily connect to OMERO.

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stardist

StarDist - Object Detection with Star-convex Shapes

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tensorflow_resnet_cifar10

Proper tensorflow implementation of ResNet-s for CIFAR10 dataset corresponding to the original paper.

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W_NucleiSegmentation-ImageJ-TestGM

BIAFLOWS workflow to segment clustered nuclei using a laplacian filter, thresholding and a binary watershed transform.

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