Alternatives and similar repositories for GLNumericalModelingKit

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

• jerkern / pyParticleEst
  Python Library for Particle based estimation methods
  ☆63Updated 7 years ago
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆42Updated 3 years ago
• nasa / SMCPy
  Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
  ☆124Updated 4 months ago
• sandialabs / chama
  Python package for sensor placement optimization
  ☆72Updated last year
• jakobrunge / tigramite_old
  Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://…
  ☆33Updated 8 years ago
• n-takeishi / bayesiandmd
  Bayesian Dynamic Mode Decomposition (Bayesian DMD)
  ☆18Updated 4 years ago
• PhIMaL / DeePyMoD_tensorflow
  This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…
  ☆24Updated 6 years ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆33Updated 5 years ago
• datasailors / bayesian_calibration
  Bayesian calibration using Tensorflow Probability
  ☆35Updated 7 years ago
• cvjena / libmaxdiv
  Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.
  ☆62Updated 4 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• AaltoML / spatio-temporal-GPs
  Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
  ☆47Updated 4 years ago
• japlatt / BasicReservoirComputing
  Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents
  ☆32Updated 3 years ago
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆49Updated 7 months ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆110Updated last week
• garrettwrong / cuTWED
  Linear memory CUDA Time Warp Edit Distance
  ☆30Updated 3 years ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆36Updated 4 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆61Updated 8 years ago
• tingiskhan / pyfilter
  Particle filtering and sequential parameter inference in Python
  ☆83Updated 2 years ago
• ymchen0 / torchEnKF
  Code for the paper "Auto differentiable Ensemble Kalman Filters" (https://arxiv.org/abs/2107.07687), accepted for publication in SIAM Jou…
  ☆35Updated 3 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆45Updated 3 weeks ago
• bogeholm / pytisean
  Python wrapper for TISEAN
  ☆30Updated 8 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆71Updated last year
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆116Updated 12 years ago
• vlad17 / runlmc
  Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.
  ☆39Updated 3 years ago
• cvxgrp / cvxflow
  ☆67Updated 7 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆75Updated 3 years ago
• jasperroebroek / sklearn-quantile
  ☆23Updated 11 months ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆85Updated 2 months ago
• guillaumelenoir / WAVEPAL
  Frequency and time-frequency analysis for irregularly sampled time series
  ☆25Updated 7 years ago