willieneis / bayesian-algorithm-execution

Related projects ⓘ

Alternatives and complementary repositories for bayesian-algorithm-execution

• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated 11 months ago
• google-deepmind / annealed_flow_transport
  ☆49Updated last year
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆45Updated last year
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆42Updated 3 years ago
• SymJAX / SymJAX
  Documentation:
  ☆120Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆96Updated last year
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆68Updated last year
• crowsonkb / mdmm
  The Modified Differential Multiplier Method (MDMM) for PyTorch
  ☆51Updated 3 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆66Updated 4 years ago
• google-research / gpax
  ☆25Updated 2 months ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆85Updated 6 months ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆70Updated 4 months ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆142Updated last year
• gehring / fax
  ☆78Updated 3 years ago
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆24Updated 2 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆94Updated 2 months ago
• aidanscannell / GPJax
  Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
  ☆11Updated 11 months ago
• COR-OPT / SuperPolyak.py
  Pytorch implementation of SuperPolyak subgradient method.
  ☆43Updated 2 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• glouppe / flowing-with-jax
  ☆15Updated 3 years ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆102Updated 3 years ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆55Updated 5 months ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆90Updated 8 months ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 4 years ago
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆105Updated last week
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 4 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆78Updated 3 years ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆106Updated 2 months ago
• OxfordML / bayesquad
  Library for Bayesian Quadrature
  ☆31Updated 5 years ago