Alternatives and similar repositories for prg:

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

• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• Yu-Group / iterative-Random-Forest
  Python implementation of iterative-random-forests
  ☆64Updated last year
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆285Updated 8 months ago
• bbalasub1 / glmnet_python
  ☆203Updated last year
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆227Updated 4 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆150Updated last year
• gokceneraslan / neuralnet_countmodels
  Count models with TensorFlow and Keras
  ☆47Updated 6 years ago
• civisanalytics / python-glmnet
  A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
  ☆265Updated 8 months ago
• stefangroha / SurvNODE
  ☆18Updated 3 years ago
• EpistasisLab / ReBATE
  Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see…
  ☆33Updated 6 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆143Updated last year
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆77Updated 4 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆173Updated 2 years ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆106Updated 9 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆148Updated 6 months ago
• CamDavidsonPilon / lifelike
  WIP predicted survival functions
  ☆37Updated 5 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆129Updated 8 years ago
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆70Updated last year
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆179Updated 3 years ago
• janezd / baycomp
  ☆73Updated 11 months ago
• mcasl / PipeGraph
  Home of the PipeGraph extension to Scikit-Learn
  ☆24Updated last week
• irashavitt / regularization_learning_networks
  Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440
  ☆35Updated 6 years ago
• BayesianTestsML / tutorial
  Tutorial on Bayesian tests for Machine Learning
  ☆76Updated 4 years ago
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆94Updated last year
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated last year