Alternatives and similar repositories for fcma-toolbox

Users that are interested in fcma-toolbox are comparing it to the libraries listed below

• logang / neuroparser
  Sparse and structured methods for supervised and unsupervised learning on large neuroimaging data
  ☆18Updated 12 years ago
• CCS-Lab / easyml
  A toolkit for easily building and evaluating machine learning models.
  ☆40Updated 2 years ago
• hddm-devs / kabuki
  Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.
  ☆73Updated 2 years ago
• graphviz4matlab / graphviz4matlab
  Matlab interface to Graphviz graph layout package. Allows interactive editing of the resulting graphs.
  ☆51Updated 8 years ago
• neurosynth / nsviewer
  Neurosynth viewer
  ☆31Updated 9 years ago
• jonathan-taylor / stats-lecture-notes
  Statistics lecture notes
  ☆34Updated 9 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• open-connectome-classes / StatConn-Spring-2015-Info
  introductory material
  ☆18Updated 9 years ago
• brian-lau / highdim
  Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)
  ☆19Updated last year
• pberkes / neuro-kl
  Python and Matlab code to estimate KL divergence and entropy of neural data distributions
  ☆19Updated 12 years ago
• schw4b / DGM
  Dynamical graphical models for multivariate time series data to estimate directed dynamic relationships in networks.
  ☆25Updated 3 years ago
• tyarkoni / SSI2016
  Course materials for the SSI 2016 course "Intro to Data Science in Python"
  ☆30Updated 9 years ago
• mslugocki / bayesfit
  Bayesian Psychometric Curve Fitting Tool
  ☆45Updated 7 months ago
• brendenlake / structural-sparsity
  Structure learning for sparse graphs with latent variables
  ☆45Updated 8 years ago
• hrldcpr / pyLAPJV
  Jonker-Volgenant / LAPJV algorithm for the linear assignment problem, in Python
  ☆51Updated last year
• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆44Updated 10 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆72Updated 9 years ago
• rezazadeh / spark
  Mirror of Apache Spark
  ☆24Updated 9 years ago
• LTS5 / connectomeviewer
  Software Application for the Visualization and Analysis of Multi-Modal Multi-Scale Network and Neuroimaging Data with Python
  ☆52Updated 7 years ago
• poldrack / myconnectome
  Code for the myconnectome project
  ☆32Updated 9 months ago
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 10 years ago
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆22Updated 7 years ago
• neurospin / pylearn-parsimony
  Structured Machine Learning in Python
  ☆46Updated 2 years ago
• sancha / CS228T.2012
  The programming assignments from CS228T offered in Spring 2012 at Stanford
  ☆40Updated 12 years ago
• rdevon / cortex_old
  Cortex - Deep learning tools for neuroimaging
  ☆31Updated 8 years ago
• Roth-Lab / pgsm
  ☆12Updated 3 months ago
• mahehu / decmeg
  2nd place submission to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain
  ☆18Updated 11 years ago
• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 9 years ago
• davharris / mcmc-tutorial
  Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo
  ☆52Updated 12 years ago
• fabianp / overview_optalgs
  ☆30Updated 4 years ago