Pradeep Reddy Raamana (raamana)

raamana

Geek Repo

Company:University of Pittsburgh

Location:Pittsburgh, PA

Home Page:crossinvalidation.com

Twitter:@Raamana_

Github PK Tool:Github PK Tool

Pradeep Reddy Raamana's repositories

autokeras

accessible AutoML for deep learning.

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neuroCombat

Harmonizing neuroimaging data across scanners and sites

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parcellation_fragmenter

Fragments FreeSurfer parcellation annotation in N-equal sized parcels

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afni

Official AFNI source and documentation

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braindrles

Its like Tinder, for Brains with Lesions!

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ConWhAt

connectome-based white matter atlases for virtual lesion studies

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datalad

Keep scientific data under control with git and git-annex

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dipy

Diffusion MR Imaging in Python

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duecredit

Automated collection and reporting of citations for used software/methods/datasets

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git-sizer

Compute various size metrics for a Git repository, flagging those that might cause problems

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GraKeL

A scikit-learn compatible library for graph kernels

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harry

A Tool for Measuring String Similarity

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hub

hub helps you win at git.

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KDEpy

Kernel Density Estimation in Python

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keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

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libfuse

The reference implementation of the Linux FUSE (Filesystem in Userspace) interface

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metric-learn

Metric learning algorithms in Python

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mindboggle

Automated anatomical brain label/shape analysis software (+ website)

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mklaren

A Python Multiple kernel learning library.

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MKLpy

A package for Multiple Kernel Learning in Python

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nibabel

Python package to access a cacophony of neuro-imaging file formats

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nilearn

Machine learning for NeuroImaging in Python

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nips2017

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

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plotly.py

An interactive, browser-based graphing library for Python :sparkles:

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pyimreg.github.com

A curated list of Python projects for non-rigid (i.e. elastic) image registration

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scipy

Scipy library main repository

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Skater

Python Library for Model Interpretation/Explanations

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thank-you-github

An open letter of gratitude to GitHub

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tutorial

Tutorial on Bayesian tests for Machine Learning

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