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CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript

Custom memory allocators in C++ to improve the performance of dynamic memory allocation

  • memory-allocation
  • custom-allocator
  • pool-allocator
  • stack-allocator

robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.

C++ library for solving large sparse linear systems with algebraic multigrid method

  • amg
  • c-plus-plus
  • sparse-linear-systems
  • opencl

Polygonal Surface Reconstruction from Point Clouds (C++ & Python)

  • surface-reconstruction
  • urban-modeling
  • urban-reconstruction
  • primitive-extraction

This is the Ruby interface to LIBLINEAR (much more efficient than LIBSVM for text classification and other large linear classifications)