adipandas / SmallWorldNetCALinks
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
Sorting:
- Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.☆13Updated 2 years ago
- Implementation of restricted Boltzmann machine, deep Boltzmann machine, deep belief network, and deep restricted Boltzmann network models…☆12Updated 4 years ago
- A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network sync…☆13Updated 2 weeks ago
- A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.☆39Updated 4 years ago
- Lorenz attractors, statistical mechanics, nonlinear dynamical systems, computational physics.☆26Updated 7 years ago
- Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics☆9Updated last year
- Automata on arbitrary networks, with Python☆61Updated last year
- A Python module for (local) Poisson-Nijenhuis calculus on Poisson manifolds☆13Updated 7 months ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- A Pythonic wrapper for the scientific journal, including Nature, Science, ScienceDirect, Wiley, ACS publication, RSC publication and so o…☆19Updated 5 years ago
- Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB☆14Updated 2 years ago
- Maximum entropy and minimum divergence models in Python☆42Updated last year
- Evolutionary Algorithms implementations, for various (discrete & continuous) optimization problems, including for autonomous agent contro…☆13Updated 8 months ago
- Andrzej Chrzeszczyk's introduction to manifolds in SageMath☆8Updated 2 years ago
- a little library to help me with things involving Koopman operators☆12Updated 3 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 4 years ago
- A collection of heat engines, based on the OpenAI Gym environment framework for use with reinforcement learning applications.☆15Updated 3 years ago
- ☆10Updated 4 years ago
- Simulate Anderson localization and tight binding on graphs.☆14Updated last year
- Medium Blog☆42Updated last year
- Python tools for Morse Smale Complex analysis and visualization☆10Updated 3 years ago
- ☆10Updated 4 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- Canonical normalizing flows☆10Updated 6 years ago
- A Python library which implement various of famous cellular automata and users can insert their rules in format Bx/Sx , where x are numb…☆13Updated 6 years ago
- Non-linear Schrodinger Equation Solver☆13Updated 7 months ago
- Multiscale Modelling Tool - mathematical modelling without the maths☆22Updated 3 years ago
- Computes trajectories for evolutionary dynamics.☆14Updated 4 years ago
- Deep Learning application to the partial differential equations☆30Updated 7 years ago