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Ravnoor Singh Gill's Projects

itermocil icon itermocil

Create pre-defined window/pane layouts and run commands in iTerm

keras-resnet icon keras-resnet

Residual networks implementation using Keras-1.0 functional API

kjh-vita icon kjh-vita

A simple LaTeX template that I use for my Vita.

latex-mimosis icon latex-mimosis

A minimal & modern LaTeX template for your (bachelor's | master's | doctoral) thesis

macinabox icon macinabox

Unraid docker image to help install MacOS vms

markdown-cv icon markdown-cv

eliseopapa's curriculum vitae maintained in plain text and rendered to html and pdf using CSS

md-cv icon md-cv

markdown cv / résumé built with jekyll

mdgru icon mdgru

Code for Multi-dimensional Gated Recurrent Units for the Segmentation of Biomedical Data

minimal-mistakes icon minimal-mistakes

A responsive Jekyll theme with clean typography and support for large full page images.

mri-gan icon mri-gan

Generative Adversarial Networks (GANs) for 3D MRI images [for deepBrainHackMTL-2017]

nips2017 icon nips2017

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

nipype-beginner-s-guide icon nipype-beginner-s-guide

This homepage provides a beginner's guide for Nipype, a user-friendly software written in Python that provides a uniform interface to existing neuroimaging softwares like SPM, FSL, FreeSurfer, Camino, AFNI, Slicer, etc.

osx-setup icon osx-setup

Reproducible Mac OSX environment setup - Tested on El Capitan (OSX 10.11.3)

practical-sql-2 icon practical-sql-2

Code and Data for the Second Edition of "Practical SQL" by Anthony DeBarros, published by No Starch Press (2022).

public-apis icon public-apis

A collective list of public JSON APIs for use in web development.

pubmed_anthroplot icon pubmed_anthroplot

Python skript to create a plot of publications on pubmed in relation to anthroposophic medicine

pyddf2mat icon pyddf2mat

uses neuroshare to convert datawave .ddf files to text-based file

pytorch-vae icon pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

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