Alternatives and similar repositories for pylearn-parsimony:

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

• rdevon / cortex_old
  Cortex - Deep learning tools for neuroimaging
  ☆31Updated 7 years ago
• 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
• PsychoinformaticsLab / nipymc
  Bayesian mixed-effects modeling of fMRI data in Python
  ☆39Updated 3 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
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 10 years ago
• neuropoly / gmseg
  Spinal cord gray matter segmentation using deep dilated convolutions.
  ☆45Updated 7 years ago
• jameshensman / GPclust
  Clustering time series using Gaussian processes and Variational Bayes.
  ☆39Updated 4 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• mattjj / variational_autoencoder
  ☆8Updated 8 years ago
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆22Updated 7 years ago
• banilo / nips2015
  ☆14Updated 9 years ago
• JasperVanDenBosch / niprov
  provenance for neuroimaging data
  ☆9Updated 8 years ago
• arthurmensch / modl
  Randomized online matrix factorization
  ☆138Updated 4 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• patrickmineault / xcorr-notebooks
  An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.
  ☆78Updated 2 years ago
• lacerbi / workshop-bristol-2019
  Introductory workshop to modeling and model fitting in psychophysics and neuroscience
  ☆11Updated 5 years ago
• practical-neuroimaging / pna2015
  Exercises for 2015 Berkeley practical neuroimaging class
  ☆26Updated 9 years ago
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆23Updated 4 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• powerscorinne / GLRM
  ☆98Updated 6 years ago
• logang / neuroparser
  Sparse and structured methods for supervised and unsupervised learning on large neuroimaging data
  ☆17Updated 11 years ago
• davidandrzej / PyIBP
  NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)
  ☆49Updated 6 years ago
• aatapa / RLScore
  ☆67Updated last year
• slinderman / thesis
  My PhD Thesis
  ☆22Updated 8 years ago
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆126Updated 3 years ago
• evidation-opensource / ContinuousTimeMarkovModel
  Continuous-time Markov model with discrete observations
  ☆23Updated last year
• neurodata / mgcpy-old
  MGCPY WILL NO LONGER BE UPDATED. THE NEW REPO CAN BE FOUND HERE:
  ☆31Updated 4 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 7 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago