Alternatives and similar repositories for somoclu

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

• sevamoo / SOMPY
  A Python Library for Self Organizing Map (SOM)
  ☆548Updated 2 years ago
• dask / dask-searchcv
  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
  ☆240Updated 6 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆221Updated last year
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆419Updated last year
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 7 years ago
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆101Updated 4 years ago
• jmschrei / yahmm
  Yet Another Hidden Markov Model repository.
  ☆248Updated 9 years ago
• ajtulloch / sklearn-compiledtrees
  Compiled Decision Trees for scikit-learn
  ☆224Updated last month
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆177Updated last year
• EasonLiao / CudaTree
  Building random forests on GPU
  ☆206Updated 8 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 7 years ago
• bolt-project / bolt
  Unified interface for local and distributed ndarrays
  ☆157Updated 6 years ago
• riga / tfdeploy
  Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.
  ☆354Updated 5 months ago
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆135Updated 4 years ago
• mynameisfiber / pyxmeans
  Quick implementation of xmeans in python and C
  ☆86Updated 7 years ago
• larsmans / seqlearn
  Sequence learning toolkit for Python
  ☆694Updated 2 years ago
• sklearn-theano / sklearn-theano
  Scikit-learn compatible tools using theano
  ☆363Updated 8 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆228Updated 4 years ago
• itdxer / neupy
  NeuPy is a Tensorflow based python library for prototyping and building neural networks
  ☆737Updated 6 months ago
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆212Updated 7 years ago
• uchicago-cs / deepdish
  Flexible HDF5 saving/loading and other data science tools from the University of Chicago
  ☆268Updated last year
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 4 years ago
• tensorprob / tensorprob
  A probabilistic programming framework based on TensorFlow
  ☆86Updated 6 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆697Updated 7 months ago
• thomaskeck / FastBDT
  Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
  ☆246Updated 4 years ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆461Updated last year
• jakevdp / JSAnimation
  [DEPRECATED] An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations
  ☆240Updated 7 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆167Updated 2 years ago
• jhamrick / nbflow
  A tool that supports one-button reproducible workflows with the Jupyter Notebook and Scons.
  ☆161Updated 6 years ago