Daniel Jörgens (djoerch)

djoerch

Geek Repo

Company:UHN

Location:Toronto

Home Page:djoerch.github.io

Twitter:@djoerch

Github PK Tool:Github PK Tool


Organizations
hodaielab

Daniel Jörgens's repositories

hodaie-teem

Fork of TEEM library for the Hodaie Lab

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randomised_filtering

Code for randomised tractogram filtering using rSIFT

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3D-CycleGan-Pytorch-MedImaging

Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.

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bidscoin

BIDScoin converts your source-level neuroimaging data to BIDS

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project_template

Project folder template for my projects.

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bidsconv

Command-line tool to convert multi-subject raw dicoms to a full BIDS formatted dataset

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codeare

Common data exchange and reconstruction engine for MRI

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contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

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datalad

Keep code, data, containers under control with git and git-annex

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deepsphere-pytorch

DeepSphere: a graph-based spherical CNN (PyTorch)

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docker-pytorch

A Docker image for PyTorch

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freesurfer_bids_app

recon-all from FreeSurfer

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mne-bids

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

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mne-bids-pipeline

Automatically process entire electrophysiological datasets using MNE-Python.

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moab_taskman

Task manager for handling many long running machine learning experiments

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neurocontainers

The containers can be used in combination with our transparent singularity or neurocommand tool, that wrap the executables inside a container to make them easily available for pipelines

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neurodocker

Generate custom Docker and Singularity images, and minimize existing containers

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nipype

Workflows and interfaces for neuroimaging packages

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pytorch-ssim-3D

pytorch structural similarity (SSIM) loss for 3D images

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scilpy

The Sherbrooke Connectivity Imaging Lab (SCIL) Python dMRI processing toolbox

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tractoflow

TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity

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