Ceres Solver is a portable C++ library that allows for modeling and solving large complicated nonlinear least squares problems. Features include:
* A friendly API: build your objective function one term at a time.
* Automatic differentiation.
* Robust loss functions.
* Local
... [More] parameterizations.
* Threaded Jacobian evaluators and linear solvers.
* Levenberg-Marquardt and Dogleg (Powell & Subspace) solvers.
* Dense QR and Cholesky factorization (using Eigen) for small problems.
* Sparse Cholesky factorization (using SuiteSparse) for large sparse problems.
* Specialized solvers for bundle adjustment problems in computer vision.
* Iterative linear solvers for general sparse and bundle adjustment problems. [Less]
MLPACK is a fast C++ machine learning library with an emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum
... [More] flexibility for expert users.
It contains algorithms such as k-means, Gaussian mixture models, hidden Markov models, density estimation trees, kernel PCA, locality-sensitive hashing, sparse coding, linear regression, least-angle regression, etc. [Less]
PL/R is a loadable procedural language that enables you to write PostgreSQL functions and triggers in the R programming language. PL/R offers most (if not all) of the capabilities a function writer has in the R language.
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