adipandas / SmallWorldNetCA
Small world networks in Cellular Automata
☆18Updated 4 years ago
Alternatives and similar repositories for SmallWorldNetCA:
Users that are interested in SmallWorldNetCA are comparing it to the libraries listed below
- Automata on arbitrary networks, with Python☆57Updated last year
- EvoDynamic seeks to evolve and develop suitable discrete dynamic models of self-organizing systems based on local interactions.☆20Updated last year
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 4 years ago
- Implementation of restricted Boltzmann machine, deep Boltzmann machine, deep belief network, and deep restricted Boltzmann network models…☆13Updated 4 years ago
- Implementing a Gaussian Process regression model from scratch☆23Updated 4 years ago
- A simple python package for graph theory that supports multi-edges, hyper-edges, looped-edges and every other combination of these.☆14Updated 6 years ago
- A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.☆39Updated 4 years ago
- Scipy-based Delay Differential Equation (DDE) solver☆36Updated 7 months ago
- A Pythonic wrapper for the scientific journal, including Nature, Science, ScienceDirect, Wiley, ACS publication, RSC publication and so o…☆19Updated 5 years 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
- ☆27Updated 6 years ago
- A network-based approach to study swarm intelligence☆13Updated 6 months ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated 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
- AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)☆34Updated 4 years ago
- Non-linear Schrodinger Equation Solver☆12Updated 5 months ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Updated 11 months ago
- Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.☆13Updated 2 years ago
- PyGL: statistical field theory in Python. github.com/rajeshrinet/pygl☆27Updated last year
- Evolutionary Algorithms implementations, for various (discrete & continuous) optimization problems, including for autonomous agent contro…☆12Updated 6 months ago
- Multiscale Modelling Tool - mathematical modelling without the maths☆23Updated 3 years ago
- Python tools for Morse Smale Complex analysis and visualization☆10Updated 3 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 3 years ago
- Randomize Self Organizing map☆25Updated 4 years ago
- Python package for analyzing and representing droplets and emulsions☆12Updated this week
- 🦜 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
- Design of Experiments analysis☆20Updated 3 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago