Some Lesser Known Machine Learning Libraries • Hacker News Board

Re: Some Lesser Known Machine Learning Libraries

#51

Post by agibsonccc » Sat, Apr 08, 2017, 1:10 AM UTC

jacquesm wrote: post #48

Safety1stClyde wrote: post #25

Earlier quoted context omitted.

If I was going to try machine learning, I would code it myself from scratch rather than rely on black boxes.

You wouldn't even get to first base without re-inventing all those wheels, in the meantime your first competitor leveraging open source available libraries and models would plow you into the ground. If you're running a business time to market matters. If you're a hobbyist you can afford to re-invent a wheel to just as a learning experience. Don't ever mix the two, especially not if you're going to ask other people (f…

I agree with this quite a bit. I mentioned the fact it took me building a business around it to justify effort in to it. Doing it "right" requires a lot of time and a team.

Re: Some Lesser Known Machine Learning Libraries

#52

Post by p1esk » Sat, Apr 08, 2017, 1:30 AM UTC

gokusaaaan wrote: post #47

I wonder if we'll ever be liberated from libraries written using python-like syntax or python in general

I like coding in Python, so hopefully not any time soon.

Re: Some Lesser Known Machine Learning Libraries

#53

Post by digitalzombie » Sat, Apr 08, 2017, 5:05 AM UTC

ungzd wrote: post #37

gulpmart wrote: post #33

What about mlpy, shark, mlpack, shogun, orange, elki, HLearn, etc.? There is very much the list doesn't cover (no offense to the list authors---just, there is a lot out there).

Also probabilistic programming stuff: PyMC, Stan, Dimple, Church. Not sure if these are 'lesser known', PyMC is mentioned often, still much less hype nowadays than neural networks.

Stan is pretty much known in the Bayesian statistic world no?

There are at least 3 Bayesian books in R using Stan.

Re: Some Lesser Known Machine Learning Libraries

#54

Post by tgowda » Sat, Apr 08, 2017, 3:28 PM UTC

RandyRanderson wrote: post #49

agibsonccc wrote: post #36

Earlier quoted context omitted.

https://deeplearning4j.org/quickstart I agree with you if my aim were to mainly promote new users here - I was more targeting someone who knew what dl4j was already and had maybe used it. I usually don't comment unless someone mentions the library by name. 99.99999% of the people who comment on here are going to likely be more interested in python in which I usually point them at keras. Thanks for the feedback though…

I've already sunk an hour or two into dlj4 and both times I tried it there were install issues. Maybe it's better now but I'm cutting my losses at this point. Also intellij is 50% of Java developers but likely a much smaller % if you remove the users just using it to dev on Android. Maybe if I stop being so lazy i'll package my ML lib up. Anyhow if there are ppl out there looking for a good Java ML lib here are the o…

could you define "dl4j install issues"?

All you have to do is setup maven/gradle/sbt project (which majority of JVM based projects of this decade do), and add dl4j dependencies to it! Why so hard?