Alternatives and similar repositories for gptools

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

• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆85Updated last year
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆49Updated last month
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• jmetzen / bayesian_optimization
  Bayesian optimization
  ☆38Updated 5 years ago
• pbrod / numdifftools
  Solve automatic numerical differentiation problems in one or more variables.
  ☆268Updated 2 years ago
• twiecki / CythonGSL
  Cython interface for the GNU Scientific Library (GSL).
  ☆121Updated 3 years ago
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆120Updated this week
• 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
  ☆185Updated 11 years ago
• bmcage / odes
  The ODES scikit for ordinary differential and algebraic equations, an extension to scipy
  ☆125Updated 7 months ago
• jakevdp / nfft
  Lightweight non-uniform Fast Fourier Transform in Python
  ☆209Updated 2 years ago
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆132Updated 4 years ago
• dfm / george
  Fast and flexible Gaussian Process regression in Python
  ☆459Updated last week
• PredictiveScienceLab / py-mcmc
  A simple MCMC framework for training Gaussian processes adding functionality to GPy.
  ☆20Updated 10 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆49Updated 4 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆59Updated 8 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆33Updated 8 years ago
• nirum / descent
  First-order optimization tools
  ☆25Updated last year
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆25Updated 7 years ago
• naught101 / sobol_seq
  python implementation of Sobol' sequence generator
  ☆67Updated 3 years ago
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆216Updated 6 years ago
• madebr / pyOpt
  Fork of http://www.pyopt.org/ (python3 compatible)
  ☆85Updated last year
• hplgit / odespy
  Easy access in Python to a large collection of ODE solvers
  ☆123Updated 5 years ago
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆88Updated 3 years ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆114Updated 12 years ago
• liuyxpp / mpltex
  A python package for producing publication quality images using matplotlib.
  ☆101Updated 4 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆85Updated 10 months ago
• phys-tools / pi-qmc
  Path integral quantum Monte Carlo
  ☆27Updated 11 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆93Updated 3 years ago
• libqueso / queso
  QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation a…
  ☆60Updated 6 years ago
• rmcgibbo / pyhmc
  Hamiltonain Monte Carlo in Python
  ☆40Updated 5 years ago