Junel Solis (junelsolis)

junelsolis

Geek Repo

Company:@Turku-BioImaging

Location:Turku, Finland

Home Page:https://bioimaging.fi

Twitter:@junelsolis

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Organizations
delivr-ae
Turku-BioImaging

Junel Solis's repositories

freeradius-admin

A web interface for FreeRADIUS with a MySQL backend. Fast and painless configuration with Docker.

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galeno

Simple patient records for any doctor's office.

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hospitalrun-frontend

Frontend-only of EMR & Hospital Management System (Hospitalrun clone)

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junelsolis

Website source code for www.junelsolis.com

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aau-machine-learning-456408.0

Repository for mini-projects and associated source code during the course

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bioimage.io

Website for the BioImage Model zoo -- a model zoo for bioimage analysis.

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DeepSlides

cialab/DeepSlides fork to make it work with newer Python libraries.

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DeepTrack-2.0

DeepTrack-2.0

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electron-microscopy-segmentation

Case study of semantic segmentation of mitochondria in transmission electron microscopy images using a convolutional neural network

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Fast4DReg

Fast4DReg is a Fiji script for quick drift correction in time-lapse 3D-stacks. The script can be used to correct drift in all x-, y- and/or z-directions.

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imagej.github.io

The ImageJ wiki

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locating-objects-without-bboxes

PyTorch code for "Locating objects without bounding boxes" - Loss function and trained models

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n2v

This is the implementation of Noise2Void training.

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pix2pix-pytorch

Image-to-Image Translation in PyTorch

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pyimagej

Use ImageJ from Python

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splinedist

SplineDist: Automated Cell Segmentation with Spline Curves

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teaching-bioimage-analysis-python

A place to collect information used in lectures, demos, workshops, etc.

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voxelnet

:mag_right: :oncoming_automobile: :articulated_lorry: :walking: :bike: 3D objects detections in LIDAR point clouds for autonomous driving

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yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

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ZeroCostDL4Mic

ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

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