Alternatives and similar repositories for NIPS2015

Users that are interested in NIPS2015 are comparing it to the libraries listed below

• BigBayes / BNPMix.jl
  Bayesian Nonparametric Mixture Models in Julia
  ☆14Updated 8 years ago
• yaringal / VSSGP
  Variational Sparse Spectrum Gaussian Process toolkit
  ☆22Updated 10 years ago
• mauriziofilippone / preconditioned_GPs
  Preconditioning Kernel Matrices
  ☆15Updated 9 years ago
• andymiller / vboost
  code supplement for variational boosting (https://arxiv.org/abs/1611.06585)
  ☆11Updated 8 years ago
• daeilkim / bbvi
  Black Box Variational Inference
  ☆14Updated 10 years ago
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆26Updated 7 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆29Updated 7 years ago
• brain-research / l2hmc
  TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
  ☆183Updated 7 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 7 years ago
• pyprob / ppx
  Probabilistic Programming eXecution protocol (PPX)
  ☆76Updated 3 years ago
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆46Updated 9 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• gianlucadetommaso / Stein-variational-samplers
  Python and MATLAB code for Stein Variational sampling methods
  ☆26Updated 6 years ago
• tbrx / compiled-inference
  Train neural networks to use as SMC and importance sampling proposals
  ☆24Updated 8 years ago
• tscohen / HarmonicExponentialFamily
  Code for Harmonic Exponential Families on Manifolds
  ☆10Updated 9 years ago
• karlnapf / kameleon-mcmc
  Code for Kernel Adaptive Metropolis-Hastings
  ☆33Updated 10 years ago
• duvenaud / jaxde
  Prototypes of differentiable differential equation solvers in JAX.
  ☆27Updated 5 years ago
• google-research / autoconj
  Recognizing and exploiting conjugacy without a domain-specific language
  ☆36Updated 6 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• duvenaud / phd-thesis
  I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth
  ☆188Updated 11 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆59Updated 5 years ago
• artemyk / nonlinearIB
  Nonlinear Information Bottleneck
  ☆54Updated 3 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆36Updated 5 years ago
• adamhaber / JaxEnt
  Jax-based MaxEnt
  ☆17Updated 6 years ago
• BigBayes / SGMCMC.jl
  Stochastic Gradient Markov Chain Monte Carlo and Optimisation
  ☆17Updated 8 years ago
• jgorham / stein_discrepancy
  Code to compute the Stein discrepancy between a sample distribution and its target
  ☆17Updated 8 years ago
• mrkulk / Julia-Torch
  Interface between Julia and Torch (Lua) using ZMQ
  ☆22Updated 10 years ago
• hughsalimbeni / DGPs_with_IWVI
  Deep Gaussian Processes with Importance-Weighted Variational Inference
  ☆39Updated 6 years ago
• akshaykgupta / SG_MCMC
  Implementation of Stochastic Gradient MCMC algorithms
  ☆41Updated 9 years ago