demianw's Stars
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
numpy/numpy
The fundamental package for scientific computing with Python.
ipython/ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
scipy/scipy
SciPy library main repository
cython/cython
The most widely used Python to C compiler
b4winckler/macvim
Vim - the text editor - for Mac OS X
lark-parser/lark
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
facebookresearch/MUSE
A library for Multilingual Unsupervised or Supervised word Embeddings
dask/distributed
A distributed task scheduler for Dask
enthought/mayavi
3D visualization of scientific data in Python
OHDSI/CommonDataModel
Definition and DDLs for the OMOP Common Data Model (CDM)
killiansheriff/LovelyPlots
Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
nipy/nibabel
Python package to access a cacophony of neuro-imaging file formats
nipy/nipy
Neuroimaging in Python FMRI analysis package
PyMVPA/PyMVPA
MultiVariate Pattern Analysis in Python
AthenaEPI/dmipy
The open source toolbox for reproducible diffusion MRI-based microstructure estimation
nilearn/nistats
Modeling and statistical inference on fMRI data in Python
commontk/AppLauncher
Simple and small program allowing to set the environment of any executable.
demianw/tract_querier
Implementation of the White Matter Query Language and associated tools for dMRI white matter tract extraction and analysis
MichielCottaar/cifti
Creation of new CIFTI files and the reading and manipulating of existing ones
AthenaEPI/logpar
Groupwise Structural Parcellation of the Whole Cortex: A Logistic Random Effects Model Based Approach
wesm/tokyo
A Cython wrapper to BLAS and LAPACK
agramfort/nipy
Neuroimaging in python
glemaitre/ca_09_2020
NeuroLang/B2RIO
antonia-ms/sulcal_neuroanatomy
demianw/tokyo
A Cython wrapper to BLAS and LAPACK
demianw/tractographyGaussianProcesses
This software implements the clustering method described in D. Wassermann, L. Bloy, E. Kanterakis, R. Verma, and R. Deriche. Unsupervised white matter fiber clustering and tract probability map generation: Applications of a gaussian process framework for white matter fibers. NeuroImage, 51(1):228–241, 2010. If you use it you MUST cite this journal publication.
NeuroLang/neurolang_web
A web API and UI for the NeuroLang library.
victoris93/contrastive-reg