Alternatives and similar repositories for LINFA

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

• dingo-gw / flow-matching-posterior-estimation
  ☆30Updated 2 years ago
• AdrienCorenflos / particle_mala
  Gradient-informed particle MCMC methods
  ☆12Updated last year
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 4 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• mackelab / gatsbi
  GATSBI: Generative Adversarial Training for Simulation-Based Inference
  ☆19Updated 2 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆25Updated 2 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆75Updated 2 weeks ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated 2 months ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 7 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• daviesl / trjp
  Source code repository for the AISTAT 2023 paper Transport Reversible Jump Proposals.
  ☆10Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆85Updated 2 years ago
• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 4 years ago
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆25Updated 3 years ago
• pmorenoz / ModularGP
  Modular Gaussian Processes
  ☆16Updated 3 years ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆19Updated 4 years ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆53Updated last week
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆35Updated 9 months ago
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆14Updated 3 years ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆106Updated 10 months ago
• lollcat / fab-jax
  Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.
  ☆12Updated last year
• ylefay / bayesianSDEsolver
  Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
  ☆10Updated 9 months ago
• li012589 / HMC_pytorch
  A pytorch version of hamiltonian monte carlo
  ☆15Updated 6 years ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• glouppe / flowing-with-jax
  ☆15Updated 4 years ago
• NickHunt-Smith / MCMC-diffusion
  A Metropolis-Hastings MCMC sampler accelerated via diffusion models
  ☆16Updated last year
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆53Updated 4 years ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆78Updated 3 years ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆131Updated last year
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆34Updated 10 months ago