Alternatives and similar repositories for simulator-mining-example

Users that are interested in simulator-mining-example are comparing it to the libraries listed below

• glouppe / recnn
  Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
  ☆47Updated 6 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 6 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆61Updated 8 years ago
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆26Updated 7 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆42Updated 5 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• suriyadeepan / pm-pyro
  PyMC3-like Interface for Pyro
  ☆38Updated 6 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆101Updated 6 years ago
• rlouf / blog-benchmark-rwmetropolis
  Code to reproduce the results of 👇
  ☆18Updated 3 years ago
• brain-research / l2hmc
  TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
  ☆184Updated 7 years ago
• HIPS / firefly-monte-carlo
  Implementation of an algorithm for Markov chain Monte Carlo with data subsampling
  ☆32Updated 9 years ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆117Updated 2 weeks ago
• izmailovpavel / TTGP
  ☆26Updated 7 years ago
• rgiordan / paragami
  "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.
  ☆14Updated 2 years ago
• plai-group / covid
  Modelling epidemiological dynamics and performing inference in these models
  ☆27Updated 4 years ago
• adamhaber / JaxEnt
  Jax-based MaxEnt
  ☆17Updated 6 years ago
• duvenaud / jaxde
  Prototypes of differentiable differential equation solvers in JAX.
  ☆27Updated 6 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 5 years ago
• akshaykgupta / SG_MCMC
  Implementation of Stochastic Gradient MCMC algorithms
  ☆41Updated 9 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆85Updated 5 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆117Updated 3 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 6 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆87Updated 4 years ago
• LucaAmbrogioni / Brancher
  A python library for stochastic variational inference and differentiable probabilistic programming
  ☆33Updated 6 years ago
• HIPS / author-roulette
  LaTeX package for randomizing author order based on a public seed.
  ☆41Updated 10 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆64Updated 7 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆34Updated 10 years ago