Alternatives and similar repositories for serket

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

• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 4 years ago
• ASEM000 / pytreeclass
  Visualize, create, and operate on pytrees in the most intuitive way possible.
  ☆45Updated 11 months ago
• ASEM000 / kernex
  Stencil computations in JAX
  ☆71Updated last month
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆53Updated last month
• lollcat / fab-jax
  Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.
  ☆12Updated last year
• COR-OPT / SuperPolyak.py
  Pytorch implementation of SuperPolyak subgradient method.
  ☆43Updated 3 years ago
• pnkraemer / probfindiff
  Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…
  ☆11Updated 2 years ago
• mackelab / gatsbi
  GATSBI: Generative Adversarial Training for Simulation-Based Inference
  ☆19Updated 2 years ago
• stefanosele / GPfY
  Gaussian processes with spherical harmonic features in JAX
  ☆15Updated 4 months ago
• francois-rozet / inox
  Stainless neural networks in JAX
  ☆34Updated 2 weeks ago
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆21Updated last year
• dodgebc / jaxkd
  Minimal JAX implementation of k-nearest neighbors using a k-d tree.
  ☆50Updated 5 months ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆131Updated last year
• adonath / gmmx
  Gaussian Mixture Models in Jax
  ☆23Updated 5 months ago
• plugyawn / gp-zoo
  A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…
  ☆14Updated 3 years ago
• timweiland / gp-fvm
  Probabilistic Finite Volume Method based on Affine Gaussian Process inference
  ☆11Updated last year
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆14Updated 3 years ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆153Updated 3 weeks ago
• v0lta / Jax-Wavelet-Toolbox
  Differentiable and gpu enabled fast wavelet transforms in JAX.
  ☆48Updated last year
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• albcab / fmx
  Conditional Flow Matching using JAX
  ☆13Updated 2 years ago
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆137Updated last week
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆100Updated 8 months ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆75Updated last month
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated 2 years ago
• AdrienCorenflos / particle_mala
  Gradient-informed particle MCMC methods
  ☆12Updated last year
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• google-research / spherical-cnn
  ☆129Updated last year
• mthiboust / somap
  A flexible, fast and scalable python library for Self-Organizing Maps
  ☆16Updated 4 months ago
• f-dangel / vivit
  [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…
  ☆17Updated 2 years ago