stdogpkg / stdog
The main goal of StDoG is to provide a package which can be used to study dynamical and structural properties (like spectra) on graphs with a large number of vertices.
☆8Updated 5 years ago
Alternatives and similar repositories for stdog:
Users that are interested in stdog are comparing it to the libraries listed below
- Analyzing Complex Networks with Python☆10Updated 2 years ago
- Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics☆9Updated last year
- Python barebones for uProbe-1 ultrasound probe acquisitions☆14Updated 7 years ago
- ☆13Updated 5 years ago
- Super-Paramagnetic Clustering, Maximum entropy, Maximum Likelihood Methods.☆12Updated 3 years ago
- Programs for Information Topology Data Analysis☆12Updated 4 years ago
- The Union of Intersections Framework in Python☆13Updated this week
- Code for the paper Recurrent Machines for Likelihood-Free Inference☆16Updated 6 years ago
- MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processin…☆9Updated 2 years ago
- Optimisation on Diffeomorphisms☆12Updated this week
- Examples of more involved applications using Geomstats☆31Updated 3 years ago
- numerical solution of the Chapman-Kolmogorov equation / Fokker-Planck equation☆9Updated 3 years ago
- Python and C++ implementation of the Chirp-Z transform☆19Updated 4 years ago
- HCAE (HyperConnectome AutoEncoder) for brain state identification.☆16Updated 4 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- Application of principal component analysis capturing non-linearity in the data using kernel approach☆8Updated 6 years ago
- A cross platform C library for information analysis of dynamical systems☆24Updated 3 years ago
- Randomize Self Organizing map☆24Updated 4 years ago
- Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)☆41Updated 4 months ago
- Small world networks in Cellular Automata☆18Updated 3 years ago
- A Fast Hadamard Transform for Signals with Sub-linear Sparsity in the Transform Domain -- Implementation☆17Updated 8 years ago
- Kalman Optimization for Value Approximation☆10Updated 5 years ago
- SymPy based framework for optimized code generation for BSSN formulation of Einstein equation for heterogeneous platforms.☆10Updated 8 months ago
- A flexible, fast and scalable python library for Self-Organizing Maps☆11Updated 9 months ago
- Levy distributions for Python☆36Updated last year
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 4 years ago
- Canonical normalizing flows☆10Updated 5 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 4 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago