Alternatives and similar repositories for probabilistic-programming:

Users that are interested in probabilistic-programming are comparing it to the libraries listed below

• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆32Updated 2 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆20Updated last year
• PhIMaL / DeePyMoD_tensorflow
  This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…
  ☆24Updated 5 years ago
• ronikobrosly / scipy_2023_causal_inference_tutorial
  Materials for a proposed Causal Inference Tutorial session at SciPy 2023
  ☆12Updated last year
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆43Updated 2 years ago
• tabularaza27 / ice_cloud_net
  ☆11Updated 4 months ago
• markmbaum / orthopoly
  Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics
  ☆9Updated last year
• googleinterns / invobs-data-assimilation
  ☆33Updated 3 years ago
• suriyadeepan / pm-pyro
  PyMC3-like Interface for Pyro
  ☆37Updated 5 years ago
• ai2cm / index
  An index of our repositories
  ☆19Updated 3 years ago
• datasailors / bayesian_calibration
  Bayesian calibration using Tensorflow Probability
  ☆34Updated 6 years ago
• daviesl / trjp
  Source code repository for the AISTAT 2023 paper Transport Reversible Jump Proposals.
  ☆10Updated last year
• icme / cme258
  Libraries for Scientific Computing
  ☆10Updated 6 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• jesserobertson / pydym
  Dynamic mode decomposition in Python
  ☆13Updated 9 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated last year
• alexub / jax-meta-learning
  Simple, extensible implementations of some meta-learning algorithms in Jax
  ☆9Updated 4 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 3 years ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆43Updated last year
• yoninazarathy / ProgrammingCourse-with-Julia-SimulationAnalysisAndLearningSystems
  Programming of Simulation, Analysis, and Learning Systems Course Materials
  ☆34Updated 4 months ago
• christophmark / bayesianfridge
  Sequential Monte Carlo sampler for PyMC2 models.
  ☆13Updated 6 years ago
• pangeo-data / ml-workflow-examples
  Simple examples of data pipelines from xarray to ML training
  ☆22Updated 5 years ago
• pymc-devs / pymc-data-umbrella
  Website: Data Umbrella & PyMC open source sessions
  ☆26Updated 8 months ago
• enthought / Numpy-Tutorial-SciPyConf-2020
  Numpy-Tutorial-SciPyConf-2020
  ☆29Updated 2 years ago
• NERSC / sc19-dl-tutorial
  Hands-on material for the SC19 tutorial, Deep Learning at Scale
  ☆18Updated 5 years ago
• Alexander-Barth / JuliaTutorial
  A brief Julia tutorial
  ☆14Updated 3 months ago
• dg227 / NLSA
  Kernel methods for statistical modeling of dynamical systems
  ☆24Updated last month
• JuliaComputing / ModelingToolkitWorkshop
  Training materials for ModelingToolkit and JuliaSim
  ☆38Updated 2 years ago
• ruehlef / ML-Oxford-2020
  ☆12Updated 4 years ago
• tcapelle / torch_moving_mnist
  A simple Dataset generator for Moving Mnist
  ☆13Updated last year