Alternatives and similar repositories for semisup-learn:

Users that are interested in semisup-learn are comparing it to the libraries listed below

• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆418Updated last year
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆487Updated 7 years ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆264Updated 8 years ago
• ArdalanM / pyLightGBM
  Python binding for Microsoft LightGBM
  ☆341Updated 5 years ago
• stavskal / ADASYN
  Adaptive Synthetic Sampling Approach for Imbalanced Learning
  ☆130Updated last year
• kylemcdonald / Parametric-t-SNE
  Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
  ☆265Updated 5 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆847Updated last year
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 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
• CuriousAI / ladder
  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
  ☆516Updated 7 years ago
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆286Updated 3 years ago
• mnick / scikit-tensor
  Python library for multilinear algebra and tensor factorizations
  ☆403Updated 6 years ago
• danielfrg / tsne
  A python wrapper for Barnes-Hut tsne
  ☆406Updated last year
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,391Updated 7 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 2 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆516Updated 3 years ago
• jundongl / scikit-feature
  open-source feature selection repository in python
  ☆1,522Updated 7 months ago
• lyst / rpforest
  It is a forest of random projection trees
  ☆223Updated 5 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆286Updated 7 months ago
• rinuboney / ladder
  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
  ☆242Updated 7 years ago
• aldro61 / pu-learning
  Positive and unlabeled learning wrappers for scikit-learn
  ☆232Updated 7 years ago
• scikit-learn-contrib / metric-learn
  Metric learning algorithms in Python
  ☆1,407Updated 6 months ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆416Updated 2 years ago
• andosa / treeinterpreter
  ☆752Updated last year
• pystruct / pystruct
  Simple structured learning framework for python
  ☆665Updated 3 years ago
• leopiney / deep-forest
  An on going implementation of the gcForest algorithm
  ☆195Updated 2 years ago
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆772Updated last year
• dpkingma / nips14-ssl
  Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
  ☆511Updated 10 years ago
• lferry007 / LargeVis
  ☆713Updated last year