DelSquared / Brownian-Motion
Python solver for the Brownian, Stochastic, or Noisy Differential Equations
☆13Updated 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
- PyGL: statistical field theory in Python. github.com/rajeshrinet/pygl☆27Updated 11 months ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- Statistical mechanics models such as random cluster models, random growth models and related processes.☆12Updated this week
- An introductory course on computational physics taught at the University of Vermont☆11Updated 3 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 2 years ago
- Applied Numerical Computing Course☆27Updated last year
- A software package for flexible HPC GPs☆14Updated 2 months ago
- ☆24Updated 6 months ago
- Algorithms in simulation: Markov chain Monte Carlo, Hybrid Monte Carlo, Heat Bath Algorithm, Path integral, Density matrices etc.☆24Updated 4 years ago
- Summer 2020 reading group on uncertainty quantification☆22Updated 4 years ago
- Mathematical Introduction to Electronic Structure Theory☆44Updated 6 years ago
- 🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains☆25Updated 3 years ago
- Lorenz attractors, statistical mechanics, nonlinear dynamical systems, computational physics.☆25Updated 7 years ago
- Repo to host book about Lagrangian Descriptors technique☆15Updated last year
- Electrochemical reaction rate modeling and nonequilibrium phase maps (via AD)☆22Updated last year
- Parameter space dimension reduction toolbox☆13Updated 2 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆9Updated 2 years ago
- Convolutional neural net to classify states of the classical Ising gauge theory (TensorFlow)☆10Updated 8 years ago
- This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-20 semest…☆17Updated 3 years ago
- Statistical standard error estimation tools for correlated data☆28Updated 6 months ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆69Updated last month
- Numerical Effective Field Theory for Quantum Materials☆35Updated 2 years ago
- ☆17Updated 3 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
- Python code for solving partial differential equations (PDEs) using deep learning. Specifically, we provide implementations for solving t…☆26Updated 7 months ago
- Density Matrix Renormalization Group (DMRG) in Python☆27Updated 12 years ago
- Hartree-Fock-Bogoliubov solver for a generic interacting fermion Hamiltonian☆16Updated 4 years ago
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆22Updated last year
- A survey of computational physics problems in Python. Includes quantum mechanics, electrostatics, ODEs, PDEs, Monte Carlo, Fourier analy…☆58Updated 9 years ago