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I'v recently worked with TensorFlow Extended(TFX) platform. Since my development background is on Pytorch stack, I'm looking for well-compatible alternatives of TFX for Pytorch.
While searching for this alternative, I came across torchx and torchserve. But torchx is a newly developed library and not so comprehensive as well as TFX. On the other hand, torchserve focus is on deployment and software engineering side of Machine Learning Operation(MLOps) and doesn't have many rich features as good as TFX for data pipeline.
Is there any other alternative for Pytorch stack?
This might be sort of self-serving, as I'm one of the co-creators of the proposed framework, but as the question asked directly for recommendations, I think its fair with this disclaimer up front.
How about using ZenML. It is a TFX-like framework for all frameworks including PyTorch (indeed uses ml-pipelines-sdk in the background - although it will be removed soon).
Here are the docs for your convenience and a pytorch example to get your started. Here is a recent blog about converting simple PyTorch code to ZenML pipelines.
Cheers and feel free to leave a comment that this answer is too market-y and I'll delete it (It isnt meant to be, I just stumbled upon this question today).
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I am new to StackOverflow so please do correct me if I need to provide any more information.
I am trying to integrate an anomaly detection into the PostgreSQL database system by plugging into its backend.
I would like to know if there is any place where I can find extensive back-end coding or integration examples. I am looking at papers regarding this topic and, so far, I have found a few which talk about the methods that the queries are classified and used for anomaly detection.
If you do know about any websites which might help me, please do provide links to the sites.
Thanks!!
Look for "hooks" in the PostgreSQL source tree. Studying the source of the auto_explain and pg_stat_statements contrib modules, which track query execution, will show you the way.
The source is its own book: it is well-documented and interspersed with README files that explain the design.
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I need to create a system that converts natural language to SQL queries. I know this has been done before so I am trying to find an SDK, API, or company that has already done it instead of reinventing the wheel by trying to write it from scratch.
Most of the posts I find related to this topic are at least at couple of years old. Kueri.me seems to be a great solution but their downloads page isn't working and I can't find their SDK anywhere else online (their latest blog posts are also from 2016).
Any advice? What is currently the best solution to do NLP to SQL?
This paper tackles this problem and was recently nominated as best paper in a top conference.
They are gradually releasing and documenting code here: https://github.com/clic-lab/atis
EDIT
You could also use the OpenNMT library (https://github.com/OpenNMT/OpenNMT-py), to train a model to map natural language to SQL queries, if you have the training data.
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I learned how to find out which version of ClojureScript I'm using with lein-cljsbuild. Where can I find API documentation for cljs.core?
I had to find out about js-obj from a blog post.
I can look at the source code, but it's a large file and it's mostly clojure.core stuff.
Not exactly thorough documentation, but this cheat sheet is really quite helpful when starting out (and better than nothing!):
http://appletree.or.kr/quick_reference_cards/Others/ClojureScript%20Cheat%20Sheet.pdf
ClojureScript definitely has a documentation problem. You're actually not too bad off looking at the source; it's verbose but not too bad once you get used to it.
That said, one of the reasons nobody has produced a definitive ClojureScript API reference is that the core functions all mirror Clojure, so it would be quite a lot of redundant effort. If a function exists in both languages and doesn't work the same way, it's highly unusual and quite possibly a bug.
In practice, I find that using the Clojure API docs (or something like clojuredocs.org) coupled with very occasional forays into the source code work pretty well for 99% of my cljs work.
ClojureScript API Documentation is being worked on here:
http://cljs.github.io/api
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It was awhile since three20 was updated and their ipad support is a little buggy. i'm considering switching to a different framework or use the standard UIKit again. Their lead developer from facebook had started writing his own framework (https://github.com/jverkoey/nimbus) and it will probably take him awhile to copy everything.
I'm looking for a similar iOS framework to work with. Any suggestions? I really like the TTNavigator URLs logic and the TTTable data sources instead of the UITableViewDelegate.
Nimbus is an iOS framework whose feature set grows only as fast as its documentation. By focusing on documentation first and features second, Nimbus hopes to be a framework that accelerates the development process of any application by being easy to use and simple to understand.
http://jverkoey.github.com/nimbus/index.html
How about learning the native frameworks?
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I recently felt the urge to generate documentation for my little project. I thought it would be fairly easy since I had a set of nice docstrings. Turns out the whole process is much more complicated in python 3.1.
Here's what I tried:
epydoc: Fails because it's for python 2. 2to3 didn't solve the problems
pydoc: I can't find any information how can you generate documentation for your own modules, seems like a server for reading python docs offline
sphinx: Most promising so far, I have built it from their repository however it fails with a very cryptic error message (jinja2.exceptions.UndefinedError: b'b"\'sphinx.jinja2glue.idgen object\' has no attribute \'next\'")
My question is: what should I do now? Are there any other non-commercial documentation generators that work with python3?
Apparently in Jinja, something is doing X.next(). In Python 3 that's next(x) instead. It should be a simple fix.