Alternatives and similar repositories for BMLIP

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

• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆123Updated 3 weeks ago
• ComputationalPsychiatry / ActiveInference.jl
  A Julia Package for Active Inference
  ☆37Updated last month
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆43Updated 2 years ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆60Updated last year
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆224Updated last year
• canyon289 / ssm_book_club
  ☆18Updated 2 years ago
• biaslab / ForneyLab.jl
  Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
  ☆152Updated 2 years ago
• SciML / ReservoirComputing.jl
  Reservoir computing utilities for scientific machine learning (SciML)
  ☆221Updated last week
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 5 years ago
• JuliaDynamics / NonlinearDynamicsComplexSystemsCourse
  Material for a full course on applied nonlinear dynamics, nonlinear timeseries analysis, and complex systems, in Julia
  ☆65Updated last year
• EEA-sensors / sqrt-parallel-smoothers
  A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…
  ☆12Updated last year
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆68Updated 11 months ago
• wesselb / NeuralProcesses.jl
  A framework for composing Neural Processes in Julia
  ☆76Updated 4 years ago
• probml / JSL
  Jax SSM Library
  ☆48Updated 3 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆79Updated this week
• RajDandekar / MSML21_BayesianNODE
  ☆40Updated 4 years ago
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆241Updated 2 years ago
• spdes / chirpgp
  Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes
  ☆13Updated last year
• EEA-sensors / parallel-non-linear-gaussian-smoothers
  Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
  ☆27Updated last year
• DS-4-DS / DS4DS_Course
  Data Science for Dynamical System Course
  ☆145Updated last month
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated last month
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆35Updated 2 years ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆226Updated last year
• ChrisRackauckas / universal_differential_equations
  Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…
  ☆235Updated 3 years ago
• algorithmsbooks / DecisionMakingProblems.jl
  Problems from Algorithms for Decision Making
  ☆54Updated 11 months ago
• luiarthur / TuringBnpBenchmarks
  Benchmarks of Bayesian Nonparametric models in Turing and other PPLs
  ☆28Updated last year
• petergchang / sarkka-jax
  ☆11Updated 3 years ago
• conorheins / collective_motion_actinf
  Code for simulating collective motion from groups of continuous-time and -space active inference agents.
  ☆52Updated last year
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆53Updated last month
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆60Updated 9 months ago