Alternatives and similar repositories for tsfeat:

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

• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 6 years ago
• posterior / goftests
  Generic goodness of fit tests for random plain old data
  ☆11Updated last year
• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 9 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 7 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 10 years ago
• datamicroscopes / mixturemodel
  Dirichlet process mixture model (DPMM) for datamicroscopes
  ☆12Updated 9 years ago
• posterior / loom
  A streaming cross-cat inference engine
  ☆19Updated last year
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• mobeets / jekyll-ipython-markdown
  build process for turning ipython notebooks into markdown files for your jekyll blog
  ☆18Updated 10 years ago
• posterior / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆16Updated last year
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• tensorlib / tensorlib
  Yet another tensor library
  ☆23Updated 7 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 9 years ago
• albietz / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• jupyter-incubator / declarativewidgets_explorer
  Explorer visualization widget for the Jupyter notebook
  ☆17Updated 8 years ago
• thunder-project / thunder-regression
  algorithms for mass univariate regression
  ☆12Updated 6 years ago
• jonsedar / tsne_presentation
  Quick & dirty repo for hosting the Notebook for t-SNE presentation at delivered at Python Quants and PyData London meetups
  ☆9Updated 9 years ago
• alextp / pylda
  An implementation of gibbs sampling for Latent Dirichlet Allocation
  ☆30Updated 13 years ago
• open-machine-learning / mloss
  Machine Learning Open Source Software
  ☆23Updated 6 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 7 years ago
• coreylynch / sklearn-transform
  Collection of scripts for doing common transformations in machine learning
  ☆21Updated 12 years ago
• forcedotcom / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆33Updated last year
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago