Alternatives and similar repositories for linselect:

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

• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆47Updated 4 years ago
• ContextLab / hypertools-paper-notebooks
  Supporting notebooks and data from hypertools paper
  ☆147Updated 6 years ago
• dask / dask-searchcv
  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
  ☆240Updated 6 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆98Updated 7 years ago
• bbli / ml_board
  a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout…
  ☆128Updated 2 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 4 years ago
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆31Updated 7 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated last year
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆57Updated 2 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 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
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆75Updated 5 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 8 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 9 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 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
• fridiculous / estimators
  Machine Learning Versioning made Simple
  ☆38Updated 2 years ago
• MLWave / hodor-autoML
  Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.
  ☆83Updated 9 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 7 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆75Updated 6 years ago
• jgreenemi / Parris
  Parris, the automated infrastructure setup tool for machine learning algorithms.
  ☆314Updated 7 years ago
• vlad17 / np-learn
  Jupyter notebook-post of advanced numpy techniques
  ☆58Updated 6 years ago
• tesserai / tfi
  Use any TensorFlow model in a single line of code
  ☆152Updated 6 years ago
• ryu577 / survival
  All kinds of survival analysis distributions and methods to optimize how long to wait for them.
  ☆39Updated 4 years ago
• mokelly / wabbit_wappa
  Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.
  ☆101Updated 7 years ago
• paypal / autosklearn-zeroconf
  autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…
  ☆169Updated 5 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆184Updated 6 years ago