Alternatives and similar repositories for Data-Science-Methods:

Users that are interested in Data-Science-Methods are comparing it to the libraries listed below

• mariodeflorio / AI-Lorenz
  ☆31Updated last year
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆25Updated 3 years ago
• jbramburger / DataDrivenDynSyst
  Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
  ☆105Updated last week
• haller-group / SSMTool-2.4
  Computation of invariant manifolds in high-dimensional mechanics problems
  ☆23Updated last year
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆54Updated 2 years ago
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆75Updated 2 years ago
• niallmm / SINDy_AIC
  combination of sparse identification of nonlinear dynamics with Akaike information criteria
  ☆16Updated 7 years ago
• sethhirsh / BayesianSindy
  ☆14Updated 3 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• Ceyron / scientific-python-course
  Slides + Source Code + Data for an introductory course to NumPy, Matplotlib, SciPy, Scikit-Learn & TensorFlow Keras
  ☆22Updated 2 years ago
• dg227 / NLSA
  Kernel methods for statistical modeling of dynamical systems
  ☆24Updated 2 months ago
• MartinuzziFrancesco / awesome-scientific-machine-learning
  A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
  ☆50Updated last year
• FrancescoRegazzoni / LDNets
  ☆54Updated last year
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆20Updated last month
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆28Updated 2 years ago
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆23Updated 3 years ago
• neuraloperator / bootcamp
  Bootcamp notebooks
  ☆52Updated 10 months ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆32Updated 3 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆67Updated 4 years ago
• hippylib / soupy
  Stochastic Optimization under Uncertainty in Python.
  ☆35Updated 7 months ago
• soumyasen1809 / Coursera_Computers_Waves_Simulations
  Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
  ☆14Updated 5 years ago
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆35Updated last year
• japlatt / BasicReservoirComputing
  Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents
  ☆28Updated 2 years ago
• simone-brugiapaglia / numerical-analysis-notebooks
  Jupyter notebooks used in the course Numerical Analysis (MAST 334 and MATH 354) at Concordia University
  ☆12Updated last year
• duqbo / optdmd
  A MATLAB package for computing the optimized dynamic mode decomposition (DMD)
  ☆18Updated 6 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆41Updated 4 years ago
• eigensteve / pysindy
  A package for the sparse identification of nonlinear dynamical systems from data
  ☆11Updated 5 years ago
• haller-group / TBarrier
  Methods to extract advective, diffusive, stochastic and active transport barriers from 2D and 3D data.
  ☆23Updated 9 months ago
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆55Updated 4 years ago
• gg2uah / hands-on-pinns
  A Hands-on Introduction to Physics-Informed Neural Networks
  ☆18Updated 6 months ago