Alternatives and similar repositories for pylearn-parsimony

Users that are interested in pylearn-parsimony are comparing it to the libraries listed below

• 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
• rdevon / cortex_old
  Cortex - Deep learning tools for neuroimaging
  ☆31Updated 8 years ago
• arthurmensch / modl
  Randomized online matrix factorization
  ☆140Updated 5 years ago
• tomwallis / glm-intro
  A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens
  ☆27Updated 9 years ago
• open-connectome-classes / StatConn-Spring-2015-Info
  introductory material
  ☆18Updated 9 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• banilo / nips2015
  ☆14Updated 9 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 7 years ago
• patrickmineault / xcorr-notebooks
  An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.
  ☆78Updated 2 years ago
• jameshensman / GPclust
  Clustering time series using Gaussian processes and Variational Bayes.
  ☆39Updated 5 years ago
• drewabbot / kaggle-seizure-prediction
  ☆41Updated 10 years ago
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆127Updated 4 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• the-moliver / kfs
  Keras for Science
  ☆72Updated 7 years ago
• mahehu / decmeg
  2nd place submission to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain
  ☆18Updated 11 years ago
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆283Updated last year
• JasperVanDenBosch / niprov
  provenance for neuroimaging data
  ☆9Updated 8 years ago
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆23Updated 5 years ago
• aatapa / RLScore
  ☆68Updated last year
• lacerbi / workshop-bristol-2019
  Introductory workshop to modeling and model fitting in psychophysics and neuroscience
  ☆11Updated 6 years ago
• PsychoinformaticsLab / nipymc
  Bayesian mixed-effects modeling of fMRI data in Python
  ☆39Updated 3 years ago
• wesm / statlib
  Bayesian State Space and Dynamic Models
  ☆35Updated 13 years ago
• LucaAmbrogioni / GP-CaKe-project
  Bayesian Effective Connectivity
  ☆54Updated 6 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 8 years ago
• jhumphry / regressions
  A Python package that implements various regression algorithms, including Partial Least Squares and Principal Components Regression
  ☆23Updated 3 weeks ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆75Updated 8 years ago
• alvarouc / polyssifier
  run a multitude of classifiers on you data and get an AUC report
  ☆68Updated last year
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆22Updated 7 years ago
• ohbm / hackathon2018
  Website for the 2018 OHBM hackathon
  ☆11Updated 2 years ago