Abstract Linear Spaces: From the History of Mathematics project.
Elementary Linear Algebra: Online Lecture Notes (PostScript) by Keith Matthews, 1991.
Elements of Abstract and Linear Algebra: An online textbook on abstract algebra with emphasis on linear algebra.
Georgia Tech Linear Algebra Site: Online resources relevant to all courses that include linear algebra content.
Hermann Grassmann and the Creation of Linear Algebra: A historical paper on the elaboration of the discipline's foundations in the middle of the 19th century.
Linalg.org: Exact linear algebra computation tools and downloads.
Linear Algebra and Applications Textbook: Online text, each page is a GIF format image.
Linear Algebra from MathWorld: Offers elementary definitions in general linear algebra, matrices and determinants.
Linear Algebra Glossary: Includes definitions and examples of all basic concepts.
Linear Algebra Textbook: By Jim Hefferon. Free download in PDF and TeX source code. Covers the material of an undergraduate first linear algebra course.
Linear Algebra Toolkit: Step by step solutions of problems such as Gauss-Jordan reduction, calculating the determinant, and finding a basis of a space spanned by given vectors.
Linear and Multilinear Algebra: Includes information on subscription, paper submission, and table of contents.
Linear and Multilinear Algebra, Matrix Theory: An informative description of the subject of linear algebra and all of its subfields from the Mathematical Atlas.
Lyryx Interactive Linear Algebra: Contains narrated and animated lessons, interactive exploration and computational tools, and an assessment system providing feedback to guide student learning.
Matrix Multiplication: An interactive micro-course for beginners, by Hans Lundmark. (Uses JavaScript.)
Notes on Linear Algebra: By Lee Lady: available in PDF, PS or DVI.
Professor Strang's Linear Algebra Class: Offers online video lectures for MIT's Linear Algebra course. Topics include geometric properties, using matrices, permutations, pivot variables, subspaces, Cramer's Rule, and Eigenvalues.
Topics in Linear Algebra: An approach unifying the notions of system of equations, matrix inversion, and linear programming.