(contribution and maintenance)
Original work by Julien Mairal
SPAMS (SPArse Modeling Software) is an optimization toolbox for solving various sparse estimation problems.
- Dictionary learning and matrix factorization (NMF, sparse PCA, …)
- Solving sparse decomposition problems with LARS, coordinate descent, OMP, SOMP, proximal methods
- Solving structured sparse decomposition problems (l1/l2, l1/linf, sparse group lasso, tree-structured regularization, structured sparsity with overlapping groups,…).
It is developed and maintained by Julien Mairal (Inria), and contains sparse estimation methods resulting from collaborations with various people: notably, Francis Bach, Jean Ponce, Guillermo Sapiro, Rodolphe Jenatton and Guillaume Obozinski.
It is coded in C++ with a Matlab interface. Interfaces for R and Python have been developed by Jean-Paul Chieze, and archetypal analysis was written by Yuansi Chen. Release of version 2.6⁄2.6.1 and porting to R-3.x and Python3.x was done by Ghislain Durif (Inria).
- For Matlab and R, you can download the sources from .
- for Python, SPAMS is available on PyPI, so you can run
pip install spamsor
pip install spams_mklto use the specific version compatible with the MKL Intel library, or download the sources from .