Alternatives and similar repositories for probabilistic-programming:

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

• ai2cm / index
  An index of our repositories
  ☆20Updated 3 years ago
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆43Updated 3 years ago
• christophmark / bayesianfridge
  Sequential Monte Carlo sampler for PyMC2 models.
  ☆13Updated 7 years ago
• datasailors / bayesian_calibration
  Bayesian calibration using Tensorflow Probability
  ☆34Updated 6 years ago
• 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  This implementation of DeePyMoD is no longer maintained!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
• juliusberner / oberwolfach_workshop
  Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
  ☆17Updated 2 years ago
• thiery-lab / manifold-mcmc-for-diffusions
  Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
  ☆10Updated last year
• googleinterns / invobs-data-assimilation
  ☆35Updated 3 years ago
• icme / cme258
  Libraries for Scientific Computing
  ☆10Updated 6 years ago
• wesselb / oilmm
  Implementation of the Orthogonal Instantaneous Linear Mixing Model
  ☆9Updated 2 years ago
• hameerabbasi / arrayish
  A library for downstream compatibility of Numpy-compatible arrays.
  ☆10Updated 5 years ago
• rlouf / blog-benchmark-rwmetropolis
  Code to reproduce the results of 👇
  ☆18Updated 2 years ago
• duvenaud / jaxde
  Prototypes of differentiable differential equation solvers in JAX.
  ☆27Updated 5 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated last year
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 3 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 5 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆21Updated 2 years ago
• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆29Updated 3 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• alexub / jax-meta-learning
  Simple, extensible implementations of some meta-learning algorithms in Jax
  ☆10Updated 4 years ago
• ColCarroll / ppl-api
  A comparison of PPL APIs
  ☆27Updated 5 years ago
• pangeo-data / ml-workflow-examples
  Simple examples of data pipelines from xarray to ML training
  ☆22Updated 5 years ago
• rasbt / srgan-lightning-blog
  Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App
  ☆17Updated 2 years ago
• justinalsing / dlmmc
  Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.
  ☆23Updated 5 years ago
• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 2 years ago
• markmbaum / orthopoly
  Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics
  ☆9Updated last year
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated last year
• JuliaComputing / ModelingToolkitWorkshop
  Training materials for ModelingToolkit and JuliaSim
  ☆38Updated 2 years ago
• rougier / 2021-Dataviz
  Material for dataviz course at university of Bordeaux
  ☆50Updated 3 years ago
• yngtdd / hyperspace
  Distributed Bayesian Optimization
  ☆23Updated 4 years ago