Alternatives and similar repositories for plan-net:

Users that are interested in plan-net are comparing it to the libraries listed below

• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆108Updated last year
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆40Updated 5 years ago
• dfm / cv
  My CV
  ☆37Updated this week
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆25Updated 6 years ago
• smsharma / mining-for-substructure-lens
  Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…
  ☆32Updated 5 years ago
• li012589 / HMC_pytorch
  A pytorch version of hamiltonian monte carlo
  ☆14Updated 5 years ago
• misokg / NIPS2017
  Multi-Information Source Optimization
  ☆22Updated 5 years ago
• LeahPrice / SMC-NS
  Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
  ☆14Updated 8 months ago
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated last year
• pcubillos / mc3
  Python MCMC Sampler
  ☆33Updated last month
• HajimeKawahara / exojax
  🐈 Automatic differentiable spectrum modeling of exoplanets/brown dwarfs using JAX, compatible with NumPyro and Optax/JAXopt
  ☆60Updated 3 weeks ago
• adammoss / nnest
  Neural network nested and MCMC sampling
  ☆22Updated 3 years ago
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated last year
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated last week
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆49Updated 4 years ago
• rmcgibbo / pyhmc
  Hamiltonain Monte Carlo in Python
  ☆40Updated 5 years ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• DifferentiableUniverseInitiative / jax_cosmo
  A differentiable cosmology library in JAX
  ☆195Updated 3 months ago
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆14Updated 2 years ago
• jhamrick / bayesian-quadrature
  Bayesian quadrature
  ☆13Updated 7 years ago
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆58Updated 7 years ago
• rhayes777 / PyAutoFit
  PyAutoFit: Classy Probabilistic Programming
  ☆63Updated this week
• stefanosele / GPfY
  Gaussian processes with spherical harmonic features in JAX
  ☆14Updated last year
• RuthAngus / HBM_tutorial
  A tutorial on Hierarchical Bayesian Modelling
  ☆19Updated 4 years ago
• tingyuansen / deep-potential
  ☆16Updated 4 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 6 years ago
• JoeriHermans / constraining-dark-matter-with-stellar-streams-and-ml
  Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.
  ☆18Updated 2 years ago
• deepsphere / deepsphere-cosmo-tf2
  A spherical convolutional neural network for cosmology (TFv2).
  ☆20Updated last month
• astro-informatics / harmonic
  Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
  ☆64Updated last week
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆56Updated 2 weeks ago