Alternatives and similar repositories for DukeLecture2018

Users that are interested in DukeLecture2018 are comparing it to the libraries listed below

• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• AWehenkel / Graphical-Normalizing-Flows
  Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…
  ☆46Updated last year
• gpapamak / snl
  Sequential Neural Likelihood
  ☆42Updated 6 years ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆100Updated 7 months ago
• RMT-TheoryAndPractice / RMT
  ☆118Updated 7 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated last year
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 6 months ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆73Updated 4 years ago
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆33Updated 4 years ago
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆167Updated 2 years ago
• keeganstoner / nn-qft
  Code used for experiments in https://arxiv.org/abs/2008.08601
  ☆19Updated 4 years ago
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆74Updated 8 months ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆130Updated last year
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆33Updated 7 months ago
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆25Updated 3 years ago
• google-deepmind / annealed_flow_transport
  ☆51Updated 2 years ago
• normal-computing / thermox
  Exact OU processes with JAX
  ☆53Updated 5 months ago
• mcbal / afem
  Implementation of approximate free-energy minimization in PyTorch
  ☆20Updated 3 years ago
• lizliz / teaspoon
  ☆44Updated 2 years ago
• pierreablin / ksddescent
  Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities
  ☆22Updated last year
• dimitra-maoutsa / DeterministicParticleFlowControl
  Repository for Deterministic Particle Flow Control framework
  ☆10Updated 2 years ago
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆34Updated 2 years ago
• neonnnnn / pyrfm
  A library for random feature maps in Python.
  ☆17Updated 5 years ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• drckf / mlreview_notebooks
  Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"
  ☆200Updated 4 years ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago