This is still a work in progress, but ahead of JuliaCon I'd like to announce JuliaDiff, a github organization and website (http://www.juliadiff.org/) for packages related to computing derivatives. This includes packages based on automatic differentiation. If you've never heard of AD, check out the intro paragraph on the website. This is a field where I believe the technical features of Julia really make it easier than ever before to implement advanced techniques efficiently and (mostly) transparently to the user, see, for example, the autodiff keyword in Optim which enables computation of exact gradients of user-provided "black box" functions. I'm looking forward to continued development, collaboration, and contributions to JuliaDiff. Thanks to Theodore Papamarkou for the impetus in creating this organization.
Miles P.S. We're accepting logo submissions.
