Alternatives and similar repositories for FittingParamsDiffEqFlux

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

• usnistgov / optbayesexpt
  Optimal Bayesian Experiment Design
  ☆39Updated last year
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆58Updated last year
• Astroinformatics / ScientificMachineLearning
  ☆36Updated last year
• cog-imperial / entmoot
  Multiobjective black-box optimization using gradient-boosted trees
  ☆58Updated 4 months ago
• Emergent-Behaviors-in-Biology / mlreview_notebooks
  Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."
  ☆69Updated 5 years ago
• IBM / AI-Hilbert
  AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…
  ☆32Updated last year
• luckystarufo / multiscale_HiTS
  ☆72Updated 4 years ago
• parmoo / parmoo
  Python library for parallel multiobjective simulation optimization
  ☆82Updated 10 months ago
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆74Updated 6 months ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆56Updated 3 years ago
• msuzen / bristol
  Parallel random matrix tools and complexity for deep learning
  ☆33Updated last year
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated 2 weeks ago
• saimani5 / VAE-tutorials
  ☆40Updated last year
• icme / cme250Q-quantum-computing
  CME250Q: Introduction to quantum computing and quantum algorithms
  ☆15Updated 5 years ago
• eth-cscs / SummerSchool2020
  ☆25Updated 3 years ago
• RMT-TheoryAndPractice / RMT
  ☆118Updated 7 years ago
• MartinuzziFrancesco / awesome-scientific-machine-learning
  A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
  ☆58Updated last year
• kpchamp / MultiscaleDiscovery
  ☆28Updated 7 years ago
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• rajeshrinet / pygl
  PyGL: statistical field theory in Python. github.com/rajeshrinet/pygl
  ☆28Updated 2 months ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆78Updated 2 years ago
• lhenriet / cirq-pasqal
  Tutorials and documentation for working with Pasqal classes in cirq
  ☆10Updated 5 years ago
• steveazzolin / gdl_tutorial_turinginst
  Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
  ☆58Updated last year
• drckf / mlreview_notebooks
  Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"
  ☆199Updated 4 years ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆21Updated 2 years ago
• PatrickHuembeli / QML-Course-UPC-2019
  Coding exercises for UPC QML course
  ☆16Updated 4 years ago
• springer-math / Numerical-Methods-for-Stochastic-Partial-Differential-Equations-with-White-Noise
  Matlab codes accompanying Numerical Methods for Stochastic Partial Differential Equations with White Noise
  ☆26Updated 7 years ago
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated 3 months ago
• fjosw / pyerrors
  Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.
  ☆47Updated 3 weeks ago
• ndcbe / CBE60499
  Nonlinear and Stochastic Optimization. https://ndcbe.github.io/CBE60499/
  ☆17Updated 2 years ago