DelSquared / Brownian-Motion
Python solver for the Brownian, Stochastic, or Noisy Differential Equations
☆12Updated 6 years ago
Alternatives and similar repositories for Brownian-Motion:
Users that are interested in Brownian-Motion are comparing it to the libraries listed below
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- PyGL: statistical field theory in Python. github.com/rajeshrinet/pygl☆27Updated last year
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Statistical mechanics models such as random cluster models, random growth models and related processes.☆12Updated 2 months ago
- Lorenz attractors, statistical mechanics, nonlinear dynamical systems, computational physics.☆25Updated 7 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆72Updated 3 months ago
- Coding exercises for UPC QML course☆15Updated 4 years ago
- Python implementation of Underdamped Langevin Inference, a method to infer the dynamical equation of underdamped stochastic systems from …☆16Updated 2 years ago
- Exercises and notes for N.G. Van Kampen's Stochastic Processes in Physics and Chemistry☆36Updated 5 months ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆14Updated 2 years ago
- Algorithms used in Statistical Mechanics☆19Updated 5 years ago
- A software package for flexible HPC GPs☆16Updated last month
- An introductory course on computational physics taught at the University of Vermont☆11Updated 3 years ago
- Mathematical Introduction to Electronic Structure Theory☆45Updated 6 years ago
- PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochast…☆14Updated 2 years ago
- Stiff Neural Ordinary Differential Equations☆32Updated last year
- Summer 2020 reading group on uncertainty quantification☆22Updated 4 years ago
- Algorithms in simulation: Markov chain Monte Carlo, Hybrid Monte Carlo, Heat Bath Algorithm, Path integral, Density matrices etc.☆24Updated 4 years ago
- andi_datasets provides functions to generate, save, load and manipulate datasets of diffusion anomalous trajectories. It is part of the A…☆29Updated 3 months ago
- Slides + Source Code + Data for an introductory course to NumPy, Matplotlib, SciPy, Scikit-Learn & TensorFlow Keras☆25Updated 2 years ago
- Numerically solve the Fokker-Planck equation in N dimensions☆88Updated last year
- Methods of numerical modelling with undergraduate level computational physics solutions with non-linear equations, gaussian probabilities…☆16Updated 5 years ago
- Python package for computing and visualizing Lagrangian Descriptors in Dynamical Systems☆20Updated 3 years ago
- KITP tutorial codes for Active Brownian Particles☆12Updated 3 years ago
- Parameter space dimension reduction toolbox☆13Updated 2 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆69Updated 5 years ago
- Statistical standard error estimation tools for correlated data☆29Updated 8 months ago
- mechanics, statistical mechanics, fluid dynamics, thermodynamics, quantum mechanics, electromagnetism☆26Updated 5 years ago
- ☆17Updated 3 years ago
- Material for the RWTH Julia workshop on 17th and 18th February 2022☆22Updated 2 years ago