2 个仓库
Awesome GitHub RepositoriesHidden State Estimation
Probabilistic methods for inferring the latent internal state of a dynamic system from observable measurements.
Distinct from Hidden State Inference: The candidates focus on neural network internal activations (extraction/tuning) rather than the mathematical estimation of hidden system states in control theory.
Explore 2 awesome GitHub repositories matching scientific & mathematical computing · Hidden State Estimation. Refine with filters or upvote what's useful.
Awesome Hidden State Estimation GitHub Repositories
用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
- rlabbe/filterpy
rlabbe/filterpy
3,772在 GitHub 上查看filterpy is a toolkit for Bayesian state estimation, Gaussian statistical analysis, and time-series noise reduction. It provides a library of linear and non-linear Kalman filters, as well as routines for non-Gaussian state estimation and signal smoothing. The project implements a variety of estimation methods, including particle filtering using Markov Chain Monte Carlo and resampling, and discrete Bayes filtering. It also includes a suite of algorithms for refining historical state estimates through backward and fixed-lag smoothing. Additional capabilities cover multivariate Gaussian analysi
Implements Bayesian methods to estimate the internal states of dynamic systems using behavioral models and noisy data.
Python - reference-lapack/lapack
Reference-LAPACK/lapack
1,808在 GitHub 上查看LAPACK is a comprehensive library of Fortran routines designed for high-performance numerical analysis and linear algebra. It serves as a foundational scientific computing framework, providing standardized procedures for solving systems of linear equations, eigenvalue problems, and least squares approximations. The library distinguishes itself through a hierarchical routine abstraction that organizes mathematical operations into distinct levels of complexity. It utilizes block-partitioned matrix algorithms and a column-major memory layout to optimize data locality and hardware efficiency. By
Solves least squares problems by minimizing the sum of squared residuals for accurate approximations.
Fortranblaseigenvalueseigenvectors
