Alternatives and similar repositories for multi-group-GP

Users that are interested in multi-group-GP are comparing it to the libraries listed below

• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆56Updated 3 weeks ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆73Updated last year
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆71Updated last year
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆63Updated 8 months ago
• BasisResearch / millipede
  A library for bayesian variable selection
  ☆31Updated 9 months ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆77Updated this week
• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 5 years ago
• hectormz / awesome-bayes
  A curated list of awesome Bayesian statistics blogs and resources
  ☆22Updated last year
• jmschrei / torchegranate
  A temporary repository hosting a pomegranate re-write using PyTorch as the backend.
  ☆72Updated 2 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 10 months ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆56Updated 4 years ago
• Roth-Lab / pgsm
  ☆12Updated 5 months ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 7 months ago
• samcohen16 / Aligning-Time-Series
  ☆51Updated last year
• omarfsosa / tech-talk-hierarchical-models
  ☆42Updated 3 years ago
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆155Updated 2 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆116Updated last year
• hanyas / mimo
  A toolbox for inference of mixture models
  ☆16Updated 2 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• y0-causal-inference / y0
  ❓y0 (pronounced "why not?") is for causal inference in Python
  ☆63Updated last week
• jan-glx / ICPy
  This packages provides a simple python implementation of Invariant Causal Prediction (ICP)
  ☆13Updated last year
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆48Updated 2 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated 2 years ago
• EEA-sensors / sequential-parallelization-examples
  This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
  ☆33Updated 2 years ago
• ShriyaBhatija / MO-CBO
  Multi-Objective Causal Bayesian Optimisation, a new paradigm for finding Pareto-optimal interventions in multi-outcome causal models
  ☆15Updated 4 months ago