Alternatives and similar repositories for slim-python

Users that are interested in slim-python are comparing it to the libraries listed below

• andland / logisticPCA
  Dimensionality reduction for binary data
  ☆50Updated 4 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 8 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
• lopezpaz / causation_learning_theory
  Code for "Towards a learning theory of cause-effect inference" (ICML 2015).
  ☆30Updated 4 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 4 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• BayesianTestsML / tutorial
  Tutorial on Bayesian tests for Machine Learning
  ☆79Updated 4 years ago
• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated this week
• tbroderick / mlss2015_bnp_tutorial
  ☆24Updated 9 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆47Updated 4 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆29Updated 9 years ago
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆57Updated 2 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• evidation-opensource / ContinuousTimeMarkovModel
  Continuous-time Markov model with discrete observations
  ☆24Updated 2 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• predict-idlab / GENESIM
  [DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretab…
  ☆80Updated 4 years ago
• sorhawell / forestFloor
  R package to visualize mapping structures of random forests with feature contributions
  ☆42Updated 3 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆34Updated 3 years ago
• kshedden / Statsmodels-MixedLM
  Teaching materials for Python MixedLM (mixed linear models)
  ☆48Updated 8 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆49Updated last year
• ninoch / Trend-Simpsons-Paradox
  ☆57Updated 3 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆21Updated 4 years ago
• charliemarx / pmtools
  ☆9Updated 4 years ago
• gelman / ep-stan
  ☆32Updated 4 years ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago