Alternatives and similar repositories for RoughPy:

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

• anh-tong / signax
  Signax: Signature computation in JAX
  ☆25Updated 3 weeks ago
• datasig-ac-uk / esig
  esig python package
  ☆42Updated last month
• crispitagorico / sigkernel
  Differentiable computations for the signature-PDE-kernel on CPU and GPU.
  ☆52Updated 7 months ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆40Updated 5 months ago
• pafoster / path_signatures_introduction
  A Brief Introduction to Path Signatures for Machine Learning Practitioners
  ☆44Updated 3 years ago
• arnauqb / blackbirds
  Black-Box Inference foR Differentiable Simulators
  ☆17Updated 2 months ago
• danielward27 / flowjax
  ☆129Updated last month
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆38Updated 2 months ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆46Updated last year
• RudyMorel / scattering_spectra
  Scattering Spectra used for the analysis and generation of time-series
  ☆32Updated 3 weeks ago
• tgcsaba / KSig
  A scikit-learn compatible Python package for GPU-accelerated computation of the signature kernel using CuPy.
  ☆33Updated last week
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆52Updated last month
• issaz / sigker-nsdes
  Code accompanying the paper "Non-adversarial training of Neural SDEs with signature kernel scores".
  ☆18Updated 4 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆99Updated this week
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆366Updated 2 weeks ago
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆32Updated 2 years ago
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆232Updated last year
• wesselb / lab
  A generic interface for linear algebra backends
  ☆71Updated 6 months ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆169Updated 2 years ago
• hegdepashupati / gaussian-process-odes
  Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes
  ☆12Updated 2 years ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆195Updated last month
• aai-institute / continuiti
  Learning function operators with neural networks.
  ☆28Updated 4 months ago
• tiskw / random-fourier-features
  Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
  ☆98Updated 2 months ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆122Updated 3 months ago
• vincentblot28 / conformalized_gp
  ☆46Updated this week
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆113Updated last week
• wesselb / neuralprocesses
  A framework for composing Neural Processes in Python
  ☆79Updated last month
• TyXe-BDL / TyXe
  ☆147Updated 2 years ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆220Updated last month
• niklasnolte / MonotonicNetworks
  ☆41Updated 7 months ago