Alternatives and similar repositories for companion

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

• stephenbeckr / convex-optimization-class
  APPM 5630 at CU Boulder
  ☆52Updated 6 months ago
• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆98Updated 3 years ago
• udellgroup / orie7391
  Materials and syllabus for Cornell ORIE 7391, Faster: Algorithmic Ideas for Speeding Up Optimization
  ☆25Updated 3 years ago
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆80Updated 2 weeks ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 3 years ago
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆27Updated 7 years ago
• cvxgrp / ncvx
  ☆77Updated 3 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆61Updated 3 years ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated this week
• jbramburger / DataDrivenDynSyst
  Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
  ☆156Updated 3 months ago
• william-redman / Koopman-Neural-Network-Training
  Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…
  ☆21Updated 2 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 3 years ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆36Updated 4 years ago
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆65Updated 5 years ago
• Zymrael / PortHamiltonianNN
  Port-Hamiltonian Approach to Neural Network Training
  ☆27Updated 6 years ago
• springer-math / dynamical-systems-with-applications-using-python
  Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch
  ☆160Updated 7 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆56Updated last year
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆47Updated 4 years ago
• MIT-Lu-Lab / MPAX
  Mathematical Programming in JAX
  ☆142Updated 8 months ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆139Updated 4 years ago
• cvxgrp / dccp
  A CVXPY extension for convex-concave programming
  ☆135Updated last month
• kpchamp / MultiscaleDiscovery
  ☆30Updated 7 years ago
• SebastianCallh / neural-ode-weather-forecast
  How to train a neural ODE for time series/weather forecasting
  ☆39Updated 3 years ago
• snagcliffs / RKNN
  ☆21Updated 7 years ago
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 9 years ago
• jbramburger / Data-Science-Methods
  This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
  ☆54Updated 4 years ago
• ChrisRackauckas / universal_differential_equations
  Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…
  ☆236Updated 3 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆91Updated last month
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆27Updated 3 years ago
• hippylib / soupy
  Stochastic Optimization under Uncertainty in Python.
  ☆36Updated 8 months ago