arvidl Goto Github PK

3dunetcnn

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

abel-low-code-ai

Companion repository for "Low-Code AI" book

aestrivex-bctpy

brain connectivity toolbox for python

al-nlp-transformers

Building on https://github.com/nlp-with-transformers notebooks by Lewis Tunstall

arvidl.github.io

arvidl.github.io-source

Source for my Computational Medicine blog http://arvidl.github.io/

atcold.github.com

Webpage for Alfredo Canziani – atcold.github.io

bbillot-synthsr

A framework for joint super-resolution and image synthesis, without requiring real training data

benchmark_rsfmri_prediction

Minimal scripts available for predictions on multiple datasets

benmoseley-harmonic-oscillator-pinn

Code accompanying my blog post: So, what is a physics-informed neural network?

bmed320-imaging-mass-cytometry-ml

BMED320 project on Imaging Mass Cytometry and Machine Learning at Department of Biomedicine, UiB

bookdown-demo

A minimal book example using bookdown

causality

In which I play with the ideas surrounding causality (from ericmjl)

cbf-regulation-and-fmri

CBF regulation and fMRI (part of "Hjernens blod- og væskesirkulasjon", CME course given by Bergen Stroke Research Group)

cngopen-brain-asymmetry

Open Scripts and pipelines from the Cognitiveneurogenetics Lab at the Max Planck Institute for Human Cognitive and Brain Sciences and Forschungszentrum Jülich

computational-medicine

Computational Medicine and Imaging

computational-neuroscience

Using computational tools to explore the networks underlying cognitive neuroscience

consciousness-explore

Explorations of the concept of consciousness, self-awareness, and consciousness in brain and machine

data-science

Collection of useful data science topics along with code and articles

dce-mri-renal-pathophysiology

Insights Into Dynamic Contrast-Enhanced MRI - What DCE MRI can(not) tell us about renal pathophysiology

deep-learning-visuals

A collection of 100 Deep Learning images and visualizations

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepadipose

Analysis of CT texture features of visceral adipose tissue for evaluation of metabolic disorders and surgery-induced weight loss effects

deisenroth-etal-mml-book.github.io

Companion webpage to the book Deisenroth et al. "Mathematics For Machine Learning", Cambridge University Press, 2020

dmd_rsn

Scripts to accompany the manuscript "Extracting Reproducible Time-Resolved Resting State Networks using Dynamic Mode Decomposition"

dynamical-systems-with-applications-using-python

Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch

elmed219-brainage

Kaggel in-v

fastbook

The fastai book, published as Jupyter Notebooks

firstcoursenetworkscience

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

friends_analysis

Network analysis of Friends scripts