Alternatives and similar repositories for tsne:

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

• baidu / fast_rgf
  Multi-core implementation of Regularized Greedy Forest
  ☆464Updated 6 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆381Updated 3 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆500Updated 7 years ago
• emanuele / kaggle_pbr
  My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.
  ☆440Updated 8 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 4 years ago
• kylemcdonald / Parametric-t-SNE
  Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
  ☆266Updated 5 years ago
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆303Updated 6 years ago
• ArdalanM / pyLightGBM
  Python binding for Microsoft LightGBM
  ☆343Updated 5 years ago
• pystruct / pystruct
  Simple structured learning framework for python
  ☆665Updated 3 years ago
• geffy / tffm
  TensorFlow implementation of an arbitrary order Factorization Machine
  ☆781Updated 3 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆429Updated 7 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated last month
• kaz-Anova / ensemble_amazon
  Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle c…
  ☆222Updated 9 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆150Updated 4 years ago
• bamine / Kaggle-stuff
  Just some of my kaggle scripts
  ☆88Updated 10 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 6 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆419Updated last year
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆265Updated 8 years ago
• lvdmaaten / bhtsne
  Barnes-Hut t-SNE
  ☆900Updated 3 years ago
• sklearn-theano / sklearn-theano
  Scikit-learn compatible tools using theano
  ☆363Updated 8 years ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 6 years ago
• leopiney / deep-forest
  An on going implementation of the gcForest algorithm
  ☆196Updated 2 years ago
• zygmuntz / phraug2
  A new version of phraug, which is a set of simple Python scripts for pre-processing large files
  ☆206Updated 6 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• alno / kaggle-allstate-claims-severity
  2nd place solution for Allstate Claims Severity competition at Kaggle
  ☆131Updated 8 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆550Updated 2 years ago
• turi-code / python-libffm
  A Python wrapper for the libffm library.
  ☆243Updated 7 years ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆503Updated 3 years ago