Alternatives and similar repositories for probabilistic-programming:

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

• 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  This implementation of DeePyMoD is no longer maintained!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
• suriyadeepan / pm-pyro
  PyMC3-like Interface for Pyro
  ☆37Updated 5 years ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated last year
• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆32Updated 2 years ago
• JuliaComputing / ModelingToolkitWorkshop
  Training materials for ModelingToolkit and JuliaSim
  ☆38Updated 2 years ago
• juliusberner / oberwolfach_workshop
  Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
  ☆17Updated 2 years ago
• datasailors / bayesian_calibration
  Bayesian calibration using Tensorflow Probability
  ☆34Updated 6 years ago
• li012589 / HMC_pytorch
  A pytorch version of hamiltonian monte carlo
  ☆14Updated 5 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆21Updated 2 years ago
• IvanYashchuk / fenics-pymc3
  Differentiable interface to FEniCS for PyMC3
  ☆20Updated 2 years ago
• duvenaud / jaxde
  Prototypes of differentiable differential equation solvers in JAX.
  ☆27Updated 5 years ago
• ColCarroll / ppl-api
  A comparison of PPL APIs
  ☆27Updated 5 years ago
• Astroinformatics / ScientificMachineLearning
  ☆36Updated last year
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆43Updated 3 years ago
• SciML / SciMLTutorialsOutput
  Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
  ☆20Updated last year
• rasbt / srgan-lightning-blog
  Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App
  ☆16Updated 2 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated last year
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 4 years ago
• hameerabbasi / arrayish
  A library for downstream compatibility of Numpy-compatible arrays.
  ☆10Updated 5 years ago
• pikarpov-LANL / Sapsan
  ML-based turbulence modeling for astrophysics
  ☆13Updated last year
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• UTA-HEP-Computing / DSatHEP-Tutorial
  ☆9Updated 6 years ago
• rizalzaf / AdversarialPrediction.jl
  Easily optimize generic performance metrics in differentiable learning.
  ☆18Updated 4 years ago
• JuliaDynamics / TransitionsInTimeseries.jl
  Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection
  ☆20Updated 2 weeks ago
• rlouf / blog-benchmark-rwmetropolis
  Code to reproduce the results of 👇
  ☆18Updated 2 years ago
• siboehm / NormalizingFlowNetwork
  Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982
  ☆21Updated 4 years ago
• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆29Updated 3 years ago
• Quansight-Labs / udiff
  Automatic differentiation with uarray/unumpy.
  ☆16Updated 4 years ago
• christophmark / bayesianfridge
  Sequential Monte Carlo sampler for PyMC2 models.
  ☆13Updated 7 years ago
• microprediction / optimizer-elo-ratings
  Assigns Elo Ratings to Python Global Optimizers
  ☆22Updated last year