thxx | thxx : libtorch C API extentions and examples | Machine Learning library

by ShigekiKarita C++ Version: v0.0.2 License: BSL-1.0

X-Ray Key Features Code Snippets(2)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | thxx Summary

thxx is a C++ library typically used in Artificial Intelligence, Machine Learning, Pytorch applications. thxx has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

thxx: libtorch C++ API extentions and examples

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Support

thxx has a low active ecosystem.

It has 40 star(s) with 5 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

thxx has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of thxx is v0.0.2

Quality

thxx has 0 bugs and 0 code smells.

Security

thxx has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

thxx code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

thxx is licensed under the BSL-1.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

thxx releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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thxx Key Features

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thxx Examples and Code Snippets

thxx - libtorch C++ API extentions,features,functional meta modules

C++

Lines of Code : 38

License : Permissive (BSL-1.0)

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auto x = torch::rand({2, 3, 4});

// single input/output
Lambda f1 = lambda([](auto&& x) { return x * 2; });
auto x1 = f1->forward(x);
CHECK_THAT( x1, testing::TensorEq(x * 2) );

// multi input/output
Lambda f2 = lambda([](auto&&

thxx - libtorch C++ API extentions,how to run

C++

Lines of Code : 7

License : Permissive (BSL-1.0)

Copy

$ conda install pytorch-cpu=1.0.0 -c pytorch
$ make test
$ make example-mnist

$ cd 
$ make --directory ./third_party libtorch-shared-with-deps-latest.zip
$ make test
$ make example-mnist

Community Discussions

Trending Discussions on thxx

Replace all and only complete words from JS string (not nested words)

TypeError: lemmatize() missing 1 required positional argument: 'word

QUESTION

Replace all and only complete words from JS string (not nested words)

Asked 2021-Jan-04 at 12:01

I want to replace words from text files uploaded by the user. So I don't know the exact structure of the text or which word(s) will be replaced.
The word(s) to replace, will be the word that shows up most amount of times in the users text.
But I found some issues with my current method which is using .replace() with new RegExp() to replace globally and case-insensitive (gi). This works.

My issue is when a longer word or name contains the word that I want to replace.
Ex: I want to replace "is" with "xx" in the phrase "This is Isak".
I want: "This xx Isak".
But I get: "Thxx xx xxak".

So I tried replacing with " is " (to ignore any nestled words).
But that has it own issues.
If that word shows up multiple times next to itself "is is is" then the result will be "xx is xx" instead of "xx xx xx". (Because of the second "is" not having a space on it's left side?)
Or if it is next to a dot or comma "That is, like this." the result will be: "That is, like this."
But I want: "That xx, like this."

I've searched stackoverflow and google but can only find answers to related questions but not how to solve this "nested word" problem.
Any ideas?

...

ANSWER

Answered 2021-Jan-04 at 12:00

You want to add a word boundary to make sure that you are replacing once a word and not a part of a word.

Source https://stackoverflow.com/questions/65562287

QUESTION

TypeError: lemmatize() missing 1 required positional argument: 'word

Asked 2020-Apr-11 at 15:02

I have an array of for each row in a csv file as followed:

...

ANSWER

Answered 2020-Apr-11 at 15:02

There are some things wrong in your code:

WordNetLemmatizer is a class, you need to instanciate it first
tokened_text is a nested list, hence you need a nested list-comprehension to preserve the structure. Also lemmatize is expecting a string.

Here's how you could do this:

Source https://stackoverflow.com/questions/61158024

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