Alternatives and similar repositories for PRF

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

• pmelchior / pygmmis
  Gaussian mixture model for incomplete (missing or truncated) and noisy data
  ☆104Updated 3 years ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆158Updated 3 weeks ago
• olivertomic / hoggorm
  Explorative multivariate statistics in Python
  ☆79Updated 4 years ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated 2 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 5 years ago
• deepskies / DeeplyUncertain-Public
  ☆27Updated 2 years ago
• bougui505 / quicksom
  ☆34Updated last year
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆241Updated last year
• msmbuilder / vde
  Variational Autoencoder for Dimensionality Reduction of Time-Series
  ☆189Updated 3 years ago
• isadoranun / FATS
  ☆75Updated 2 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆177Updated 3 years ago
• njali2001 / popsom
  Population-based Self-Organizing Maps
  ☆22Updated 2 years ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated 3 weeks ago
• bnaul / IrregularTimeSeriesAutoencoderPaper
  ☆64Updated last year
• fcomitani / simpsom
  Python library for Self-Organizing Maps
  ☆164Updated 2 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆148Updated last year
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆91Updated 4 years ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆75Updated 4 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 8 months ago
• ziatdinovmax / NeuroBayes
  Fully and Partially Bayesian Neural Nets
  ☆80Updated 9 months ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• lzkelley / kalepy
  Kernel Density Estimation and (re)sampling
  ☆63Updated 2 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆131Updated 5 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 9 months ago
• eth-cscs / abcpy
  ABCpy package
  ☆117Updated 2 weeks ago
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆73Updated 3 weeks ago
• dfm / gp
  A tutorial about Gaussian process regression
  ☆193Updated 5 years ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago