Another fantastic library for the list - GRT https://github.com/nickgillian/grt Really great lightweight c++ gesture recognition with DTW, HMM's and SVM's
This looks like a good addition. Will suggest to add it.
Some Lesser Known Machine Learning Libraries
41–50 of 54 posts
Re: Some Lesser Known Machine Learning Libraries
#42If (unlikely outside High-Energy Physics) one is using ROOT, TMVA is a good option.
Re: Some Lesser Known Machine Learning Libraries
#43Pymanopt is a Python version of the Matlab code Manopt by Nicolas Boumal. It adds some features like automatic differentiation. I can't speak highly enough about both of these packages. A lot of people don't realize how useful manifold optimization is. The academic community has been aware of it for a while now, but it seems to have remained a bit of a secret. It can be used to perform SVD, phase retrieval, global re…
Yes. We love PyManOpt here at ParallelDots (the startup which wrote the blog).
Re: Some Lesser Known Machine Learning Libraries
#44If I was going to try machine learning I would code up from scratch rather than relying on black boxes.
Why not take a well tested open source machine learning library and read the source code. No black box, and no spending a lot of time having re-inventing the wheel just to get some work done.
Not just the code. The code is rarely enlightening. To actually understand what's happening you'll need to at least skim the research behind it.
Re: Some Lesser Known Machine Learning Libraries
#45Maybe the libraries are less known because they're lesser libraries? --- "Less known libraries" would be libraries that fewer people know. "Lesser known libraries" would be libraries of a lower quality. [source]( http://english.stackexchange.com/questions/24719/difference-... )
You could hyphenate to clarify: lesser-known libraries.
But come on, the English language is ambiguous. We can figure out the meaning from the context. I'm usually a nit when it comes to vocabulary and grammar, but this one...
Actually, maybe the title should explain more of the purpose: Machine learning libraries that should be more popular.
Re: Some Lesser Known Machine Learning Libraries
#46If I was going to try machine learning I would code up from scratch rather than relying on black boxes.
Here is something you should check out in that case https://github.com/eriklindernoren/ML-From-Scratch . Although be warned, everything from scratch approach l, despite being addictive, is harder than standing on shoulders of giants and takes too much resilience. If you are even a bit of procrastinater like me, it's tend to stay a sweet fantasy a lot of times. It's only when I was half working on a project and had no…
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Re: Some Lesser Known Machine Learning Libraries
#47I wonder if we'll ever be liberated from libraries written using python-like syntax or python in general
Re: Some Lesser Known Machine Learning Libraries
#48Earlier quoted context omitted.
As someone who actually did this, got in to YC, raised a few million and built a team of 22 distributed across 6 timezones around said endeavor: Don't. It's been 3.5 years since I did it and I don't regret it necessarily but the only reason I did was because I wanted something in an unserved category.
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 (friends, family, outsiders) to invest.
Re: Some Lesser Known Machine Learning Libraries
#49Earlier quoted context omitted.
You need to have some demos that one can download and get to work easily. Before you say "we do - look at this link..." see sentence 1.
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 ones I use:
* Neural Net general lib - Encog
* NLP - StanfordNLP
Re: Some Lesser Known Machine Learning Libraries
#50Earlier 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…
Hmm - I would recommend our gitter channel: https://gitter.im/deeplearning4j/deeplearning4j
I'm not sure what "install issues" you'd have. Maven is all you need to know.
We're not any different than any other java library out there. There's nothing to "install". It's a library you use via maven/gradle/sbt just like anything else. Rather than commenting on hacker news about this (where most of my devs won't see it) file an issue and say what you had trouble with.
Considering the baseline in deep learning is usually "Install from source here's your c compiler" it's not going to be nearly as bad.