Alternatives and similar repositories for prg

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

• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆248Updated 6 months ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆77Updated 6 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 8 months ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆158Updated last year
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• bbalasub1 / glmnet_python
  ☆208Updated 2 years ago
• janezd / baycomp
  ☆75Updated last year
• Yu-Group / iterative-Random-Forest
  Python implementation of iterative-random-forests
  ☆68Updated 2 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆123Updated 8 years ago
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆142Updated 2 years ago
• manifoldai / merf
  Mixed Effects Random Forest
  ☆238Updated last year
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆73Updated 3 weeks ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆138Updated last year
• beringresearch / ivis
  Dimensionality reduction in very large datasets using Siamese Networks
  ☆338Updated last month
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 8 months ago
• gregversteeg / bio_corex
  A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overla…
  ☆143Updated 4 years ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆102Updated last year
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆169Updated 2 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆287Updated 2 years ago
• abidlabs / contrastive
  Contrastive PCA
  ☆231Updated 2 months ago
• BayesianTestsML / tutorial
  Tutorial on Bayesian tests for Machine Learning
  ☆78Updated 5 years ago
• junpenglao / GLMM-in-Python
  Generalized linear mixed-effect model in Python
  ☆182Updated 7 years ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆130Updated 5 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆148Updated last year
• udellgroup / pyglrm
  The Python wrapper for LowRankModels.jl.
  ☆15Updated 6 years ago
• civisanalytics / python-glmnet
  A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
  ☆269Updated last year
• christopherjenness / DBCV
  Python implementation of Density-Based Clustering Validation
  ☆178Updated 2 years ago