Alternatives and similar repositories for random-walks

Users that are interested in random-walks are comparing it to the libraries listed below

• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆35Updated 2 years ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 4 months ago
• smsharma / awesome-neural-sbi
  Community-sourced list of papers and resources on neural simulation-based inference.
  ☆124Updated 3 months ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆138Updated last week
• danielward27 / flowjax
  ☆182Updated 3 weeks ago
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆32Updated 4 months ago
• albcab / fmx
  Conditional Flow Matching using JAX
  ☆13Updated 2 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆112Updated 5 months ago
• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆70Updated 2 months ago
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆34Updated 6 months ago
• JakobRobnik / MicroCanonicalHMC
  MCHMC: sampler from an arbitrary differentiable distribution
  ☆73Updated 4 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆221Updated 4 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆101Updated 7 months ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆52Updated this week
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆130Updated last year
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆30Updated last year
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆97Updated 4 months ago
• ludwigwinkler / pytorch_MCMC
  Lightweight MCMC sampling for PyTorch Models aka My Corona Project
  ☆49Updated 3 weeks ago
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆248Updated 2 weeks ago
• huangdaolang / robust-sbi
  Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)
  ☆11Updated last month
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆71Updated 9 months ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆529Updated this week
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆32Updated 2 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 6 months ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆44Updated last year
• tummfm / jax-sgmc
  Stochastic Gradient MCMC for Jax
  ☆14Updated 3 months ago
• probabilisticai / nordic-probai-2024
  Materials of the Nordic Probabilistic AI School 2024.
  ☆67Updated last year
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆42Updated 2 years ago
• ylefay / bayesianSDEsolver
  Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
  ☆10Updated 6 months ago