Alternatives and similar repositories for autoemulate

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

• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆52Updated last year
• alan-turing-institute / python-project-template
  ☆22Updated last week
• mingdeyu / DGP
  Python package 'dgpsi' for deep and linked Gaussian process emulations
  ☆27Updated this week
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆48Updated 4 years ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆318Updated this week
• wesselb / neuralprocesses
  A framework for composing Neural Processes in Python
  ☆85Updated 9 months ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆65Updated 3 months ago
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆117Updated last year
• ICB-DCM / pyPESTO
  python Parameter EStimation TOolbox
  ☆261Updated last week
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆123Updated last week
• LBL-EESA / fastkde
  ☆67Updated 2 months ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated 11 months ago
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆328Updated last month
• UM-Bridge / umbridge
  UM-Bridge (the UQ and Model Bridge) provides a unified interface for numerical models that is accessible from virtually any programming l…
  ☆38Updated 2 weeks ago
• pasteurlabs / tesseract-core
  Universal, autodiff-native software components for Simulation Intelligence. 📦
  ☆70Updated this week
• IBM / simulai
  A toolkit with data-driven pipelines for physics-informed machine learning.
  ☆192Updated 3 weeks ago
• allen-adastra / xarray_jax
  Simple Xarray + JAX Integration
  ☆21Updated 3 weeks ago
• equadratures / equadratures
  ☆100Updated 2 years ago
• stefanosele / GPfY
  Gaussian processes with spherical harmonic features in JAX
  ☆15Updated last month
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆458Updated 3 months ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆228Updated 3 years ago
• f0uriest / interpax
  Interpolation and function approximation with JAX
  ☆225Updated last week
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆539Updated last week
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆176Updated 4 months ago
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆76Updated 3 years ago
• sandialabs / pyapprox
  Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
  ☆65Updated last week
• callumrollo / cmcrameri
  Making Fabio Crameri's perceptually uniform colourmaps for geosciences available on PyPI and conda-forge
  ☆189Updated 3 weeks ago
• hippylib / soupy
  Stochastic Optimization under Uncertainty in Python.
  ☆36Updated 4 months ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆240Updated this week
• mlcolab / sbi-workshop
  SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
  ☆23Updated 2 years ago