Impressive work, especially with the documentation! Have you benchmarked it against other implementations?
On Saturday, July 2, 2016 at 12:32:13 AM UTC-4, esproff wrote: > > Hi all! > > So I have just released a new variational Bayes topic modeling package for > Julia, which can be found here: > > https://github.com/esproff/TopicModelsVB.jl > > The models included are: > > 1. > > Latent Dirichlet Allocation (LDA) > 2. > > Filtered Latent Dirichlet Allocation (fLDA) > 3. > > Correlated Topic Model (CTM) > 4. > > Filtered Correlated Topic Model (fCTM) > 5. > > Dynamic Topic Model (DTM) > 6. > > Collaborative Topic Poisson Factorization (CTPF) > > This is, as far as I can tell, the best open-source topic modeling package > to date. It's still a bit rough around the edges and there are a few > edge-case bugs I think still deep in the belly of 1 or 2 of the algorithms. > But overall it's polished enough that I think it needs to be tried out by > other people besides myself. > > I'm open to collaborators, and I'm especially interested in adding some > GPGPU support, however, formally speaking, I'm trained as a mathematician, > not a computer scientist or software engineer, and thus if you're an expert > in GPGPU I'd be very interested in talking to you about adding this > functionality as Bayesian learning can be *EXTREMELY *computationally > intensive. (you can contact me on here or at [email protected] > <javascript:>) > > On the other hand, if you're more into the applied math / machine learning > side, there are still a number of models to implement, mostly > non-parametric versions of the ones I've implemented, however I should warn > you that Bayesian nonparametrics is not for the faint of heart. > > Julia is a great language, and I hope you all like it as much as I do, of > course the speed is the big seller, however I think maybe its best feature > is the ease with which one can dig down into the internals of the language, > and considering how high-level the language is, this is truly a > masterstroke by the creators. >
