y-z-zhang / SBD
A simple algorithm that finds a simultaneous block diagonalization of multiple matrices through the eigendecomposition of a single matrix.
☆16Updated 3 years ago
Alternatives and similar repositories for SBD:
Users that are interested in SBD are comparing it to the libraries listed below
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆28Updated last month
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆72Updated 2 months ago
- Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"☆16Updated 5 years ago
- ☆14Updated 5 months ago
- ☆23Updated 3 years ago
- Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)☆20Updated 5 years ago
- Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)☆42Updated 5 months ago
- ☆112Updated 7 years ago
- Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks☆19Updated 6 months 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
- Monte Carlo simulation of 2D Ising Model. Final project of the LoCP-A course during 2020/2021 at Unipd☆14Updated 3 years ago
- Source code to run experiments on higher-order quantum reservoir computing☆14Updated 2 years ago
- The framework for inferring Langevin dynamics from spike data☆30Updated 2 months ago
- A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization p…☆31Updated 2 years ago
- AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…☆29Updated 8 months ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Probabilistic modelling with tensor networks☆28Updated 5 years ago
- Bayesian tensor network☆20Updated 5 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆45Updated last year
- Holmes-Nemenman modified KSG continuous entropy estimator☆16Updated 3 years ago
- Optimal Bayesian Experiment Design☆37Updated 11 months ago
- Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX☆38Updated last year
- Automated dynamical systems inference☆38Updated last year
- ☆31Updated 4 years ago
- Python implementation of Krotov's method for quantum optimal control☆74Updated last month
- ☆44Updated last year
- Riemannian optimization for quantum technologies☆59Updated 2 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆72Updated 3 months ago
- Uncertainty and causal emergence in complex networks☆110Updated 3 years ago
- The code and supplemented documents for the paper "Quantum topology identification with deep neural networks and quantum walks" that will…☆10Updated 3 years ago