Marcus if you're looking to do reinforcement learning, I'd like collaboration on https://github.com/tbreloff/Reinforce.jl. I don't have docs yet but I got it hooked up to OpenAIGym.jl on friday for benchmarking.
On Saturday, July 30, 2016, Alireza Nejati <alireza....@gmail.com> wrote: > Very cool! Is there a page where these changes are described more? How has > the abstract type hierarchy been changed? > > Also, I heard there was supposed to be a complex root isolation method? > > On Wednesday, July 27, 2016 at 9:07:44 AM UTC+12, Bill Hart wrote: >> >> Hi all, >> >> We are pleased to release version 0.5 of Nemo, our computer algebra >> package written in Julia. >> >> Instructions on how to get Nemo are on our website: >> >> http://nemocas.org/downloads.html >> >> Note that we have moved our repository, so existing users may need to >> reinstall. >> >> Documentation for Nemo, including example code, how to get started etc., >> is available online: >> >> http://nemocas.github.io/Nemo.jl/latest/ >> >> The new features of Nemo 0.5 include: >> >> * Wrap Arb's arb_mat, acb_mat (matrices over R and C) >> * Wrap Arb's arb_poly, acb_poly (polys over R and C) >> * Completely rewritten, online documentation >> * Wrap Flint's fmpq_mat (matrices over Q) >> * Nullspace over the integers (using HNF) >> * Factorisations now return a Dict >> * Make caching of parent objects optional >> * Add benchmarks >> * Remove a lot of type instability >> * Integrate C libraries with Julia's counted malloc >> * Redesign abstract type hierarchy >> * Appveyor continuous integration for Windows >> * Lots of cleaning up and restructuring of the code base >> * Many bug fixes >> >> We will release a small update in the next few weeks to support Julia 0.5 >> when it comes out, However it should work with nightlies right now with >> some warnings. >> >> Enjoy, >> >> The Nemo Developers. >> >
