Alternatives and similar repositories for random-output-trees:

Users that are interested in random-output-trees are comparing it to the libraries listed below

• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 10 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆55Updated 10 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 9 years ago
• aatapa / RLScore
  ☆68Updated last year
• haozhenWu / Calibrated-Boosting-Forest
  Original implementation of Calibrated Boosting-Forest
  ☆18Updated 7 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• travisbrady / py-soft-impute
  Python implementation of Mazumder and Hastie's softImpute for matrix completion
  ☆46Updated 9 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• wdm0006 / sklearn-extensions
  A consolidated package of small extensions to scikit-learn
  ☆24Updated 2 years ago
• binhmop / tsbitmaps
  Time-series Bitmap model for anomaly detection
  ☆16Updated 7 years ago
• sramirez / fast-mRMR
  An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
  ☆83Updated 3 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 9 years ago
• airanmehr / cssvm
  Cost-Sensitive Support Vector Machines
  ☆33Updated 9 years ago
• bsharchilev / RobustPCA
  ☆20Updated 8 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• jakevdp / lpproj
  Scikit-learn compatible Locality Preserving Projections in Python
  ☆93Updated 6 years ago
• albertcthomas / anomaly_tuning
  Learning hyperparameters for unsupervised anomaly detection
  ☆38Updated 5 years ago
• Craigacp / FEAST
  A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.
  ☆72Updated 2 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• jamesrobertlloyd / automl-phase-2
  1st place submission to the AutoML competition - phase 2
  ☆28Updated 9 years ago
• klingebj / regreg
  Python algorithms for regularized regression
  ☆24Updated 9 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 7 years ago
• dolaameng / pysax
  python implementation of SAX (Symbolic Aggregate Approximation) for time series data
  ☆45Updated 10 years ago