Alternatives and similar repositories for deeptime

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

• PyDMD / PyDMD
  Python Dynamic Mode Decomposition
  ☆1,055Updated 3 weeks ago
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆336Updated 2 weeks ago
• manu-mannattil / nolitsa
  A Python module implementing some standard algorithms used in nonlinear time series analysis
  ☆188Updated last year
• kpchamp / SindyAutoencoders
  ☆373Updated 4 years ago
• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆1,054Updated 2 months ago
• DynamicsAndNeuralSystems / catch22
  catch22: CAnonical Time-series CHaracteristics
  ☆440Updated this week
• ziatdinovmax / gpax
  Gaussian Processes for Experimental Sciences
  ☆228Updated 3 months ago
• EmuKit / emukit
  A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…
  ☆635Updated last month
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆240Updated 3 weeks ago
• experimental-design / bofire
  Experimental design and (multi-objective) bayesian optimization.
  ☆320Updated this week
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆765Updated last year
• cerlymarco / tsmoothie
  A python library for time-series smoothing and outlier detection in a vectorized way.
  ☆768Updated last year
• dynamicslab / pysindy
  A package for the sparse identification of nonlinear dynamical systems from data
  ☆1,683Updated last week
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆430Updated last year
• SJ001 / AI-Feynman
  ☆718Updated last year
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated last year
• dynamicslab / pykoopman
  A package for computing data-driven approximations to the Koopman operator.
  ☆387Updated 11 months ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆137Updated 4 years ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆230Updated 3 years ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆459Updated 3 months ago
• matrix-profile-foundation / matrixprofile
  A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
  ☆384Updated last year
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆331Updated 2 months ago
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆672Updated 3 years ago
• GilpinLab / dysts
  Hundreds of strange attractors
  ☆496Updated last month
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆406Updated 3 weeks ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆158Updated last year
• pnnl / neuromancer
  Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric …
  ☆1,216Updated 2 weeks ago
• sbi-dev / sbi
  sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…
  ☆745Updated last week
• SALib / SALib
  Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
  ☆955Updated 3 weeks ago
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆239Updated last month