Alternatives and similar repositories for revrand

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

• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆32Updated 10 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 5 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• usnistgov / pmml_pymcBN
  ☆41Updated 6 years ago
• adtech-labs / bayes_logistic
  Bayesian Logistic Regression using Laplace approximations to the posterior.
  ☆47Updated 8 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 9 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 8 years ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 10 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• rosinality / knotter
  Implementation of Mapper algorithm for Topological Data Analysis
  ☆45Updated 5 years ago
• modusdatascience / glm-sklearn
  Some scikit-learn-esque wrappers for statsmodels GLM
  ☆23Updated 11 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆86Updated 4 years ago
• ffx-org / ffx
  Fast Function Extraction
  ☆84Updated last week
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 10 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 4 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
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• mpacer / Causal-Bayesian-NetworkX
  This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…
  ☆26Updated 10 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• msmbuilder / osprey
  🦅Hyperparameter optimization for machine learning pipelines 🦅
  ☆74Updated 4 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆119Updated 2 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆167Updated 2 years ago
• dswah / sgcrfpy
  SGCRFpy: Sparse Gaussian Conditional Random Fields in Python
  ☆29Updated 8 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago