Alternatives and similar repositories for slim-python

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

• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 7 months ago
• andland / logisticPCA
  Dimensionality reduction for binary data
  ☆51Updated 5 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated 2 months ago
• BayesianTestsML / tutorial
  Tutorial on Bayesian tests for Machine Learning
  ☆78Updated 5 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆30Updated 9 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 9 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 8 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 10 years ago
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆59Updated 2 months ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 8 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆22Updated 4 years ago
• kapelner / ICEbox
  An R package for better visualizing a statistical learning model
  ☆35Updated 2 weeks ago
• davpinto / fastknn
  Fast k-Nearest Neighbors Classifier for Large Datasets
  ☆70Updated 8 years ago
• kshedden / Statsmodels-MixedLM
  Teaching materials for Python MixedLM (mixed linear models)
  ☆48Updated 8 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 7 years ago
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆142Updated 2 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago
• mlr-org / mcboost
  Multi-Calibration & Multi-Accuracy Boosting for R
  ☆33Updated 6 months ago
• ninoch / Trend-Simpsons-Paradox
  ☆57Updated 3 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
• lrouviere / AGB
  These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.
  ☆17Updated 7 years ago
• ramhiser / activelearning
  Active Learning in R
  ☆47Updated 8 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 4 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 10 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year