Alternatives and similar repositories for magi

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

• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 4 months ago
• martiningram / jax_advi
  ☆16Updated 5 months ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆33Updated 2 years ago
• chris-nemeth / sgmcmc-review-paper
  The code in this repository follows the paper "Stochastic gradient MCMC"
  ☆26Updated 6 years ago
• kpchamp / MultiscaleDiscovery
  ☆30Updated 7 years ago
• eepperly / Randomly-Pivoted-Cholesky
  Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"
  ☆29Updated last month
• ZhaozhiQIAN / D-CODE-ICLR-2022
  D-CODE: Discovering Closed-form ODEs from Observed Trajectories
  ☆15Updated 3 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆57Updated last year
• wmyw96 / FAST-NN
  Scripts for our paper ``Factor Augmented Sparse Throughput Deep Neural Networks for High Dimensional Regression''
  ☆11Updated 6 months ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆100Updated 7 months ago
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆35Updated 2 years ago
• lbl-camera / fvGP
  A software package for flexible HPC GPs
  ☆16Updated this week
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• AaltoML / hilbert-gp
  Codes for Hilbert space reduced-rank GP regression
  ☆14Updated 6 years ago
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆45Updated 4 years ago
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆75Updated 8 months ago
• niallmm / Hybrid-SINDy
  Sparse Identification of Nonlinear Dynamics for Hybrid Systems
  ☆25Updated 7 years ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆33Updated 8 months ago
• Bostanabad-Research-Group / GP-Plus
  Python Library for Generalized Gaussian Process Modeling
  ☆25Updated 5 months ago
• XZT008 / Standard-GP-is-all-you-need-for-HDBO
  Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks
  ☆15Updated 2 months ago
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆42Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆73Updated 4 years ago
• sdascoli / odeformer
  ☆67Updated last year
• benavoli / SkewGP
  Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga
  ☆16Updated last month
• eepperly / XTrace
  Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"
  ☆14Updated 2 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 6 months ago
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆35Updated last year
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆64Updated 5 years ago
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆32Updated last year