Alternatives and similar repositories for regressions

Users that are interested in regressions are comparing it to the libraries listed below

• neurospin / pylearn-parsimony
  Structured Machine Learning in Python
  ☆46Updated 2 years ago
• compmem / ptsa
  Python Time Series Analysis (PTSA, pronounced "pizza")
  ☆42Updated 8 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…
  ☆45Updated 11 years ago
• robince / pyentropy
  Information Theoretic Tools for Python
  ☆95Updated 6 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 7 years ago
• benfulcher / TimeSeriesGeneration
  Generating time series from a range of dynamical systems
  ☆17Updated 3 years ago
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆127Updated 4 years ago
• tomwallis / glm-intro
  A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens
  ☆27Updated 10 years ago
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆286Updated 2 years ago
• JamesRitchie / scikit-rvm
  Relevance Vector Machine implementation using the scikit-learn API.
  ☆237Updated 3 months ago
• Team-BK / Biomag2016
  ☆10Updated 9 years ago
• gilestrolab / pyrem
  Python package for sleep scoring from EEG data
  ☆29Updated 11 years ago
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆23Updated 5 years ago
• drewabbot / kaggle-seizure-prediction
  ☆42Updated 10 years ago
• mattjj / pyhsmm-autoregressive
  autoregressive plugin
  ☆27Updated 3 years ago
• nipy / nitime
  Timeseries analysis for neuroscience data
  ☆255Updated 3 weeks ago
• michaelchughes / NPBayesHMM
  Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…
  ☆78Updated 7 years ago
• open-connectome-classes / StatConn-Spring-2015-Info
  introductory material
  ☆18Updated 10 years ago
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆230Updated last year
• the-moliver / kfs
  Keras for Science
  ☆72Updated 7 years ago
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆22Updated 8 years ago
• mind-inria / picard
  Preconditioned ICA for Real Data
  ☆115Updated last week
• benfulcher / hctsa_python
  Initial attempt to incorporate some time-series analysis features from hctsa into python land
  ☆28Updated 9 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆125Updated 5 years ago
• gentnerlab / pyoperant
  python package for operant conditioning
  ☆14Updated last year
• AllenInstitute / SWDB_2018
  Course materials for the 2018 Summer Workshop on the Dynamic Brain
  ☆22Updated 7 years ago
• PsychoinformaticsLab / nipymc
  Bayesian mixed-effects modeling of fMRI data in Python
  ☆39Updated 4 years ago
• patrickmineault / xcorr-notebooks
  An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.
  ☆78Updated 3 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• kimjingu / nonnegfac-python
  Python toolbox for nonnegative matrix factorization
  ☆115Updated 7 years ago