dev-resources | A collaborative list of resources for developers | REST library

by marcelscruz TypeScript Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | dev-resources Summary

dev-resources is a TypeScript library typically used in Web Services, REST, Discord applications. dev-resources has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The list and public API of the resources that power Dev Resources. For information on contributing, please see the contributing guide. For information on using the public API, please see the API usage guide. Join us on Discord.

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Support

dev-resources has a low active ecosystem.

It has 735 star(s) with 173 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 217 have been closed. On average issues are closed in 400 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dev-resources is current.

Quality

dev-resources has no bugs reported.

Security

dev-resources has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

dev-resources is licensed under the MIT License. This license is Permissive.

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

Reuse

dev-resources releases are not available. You will need to build from source code and install.

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dev-resources Key Features

No Key Features are available at this moment for dev-resources.

dev-resources Examples and Code Snippets

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Community Discussions

Trending Discussions on dev-resources

Connecting to Repl from Clojure project Light Table

spacy create new language model with data from corpus

Install bash on Alpine/Docker using qemu for ARM host

QUESTION

Connecting to Repl from Clojure project Light Table

Asked 2019-Apr-13 at 18:51

I am trying to connect to Repl in Clojure project in Light Table. I went to connections, chose project.clj I wanted to connect to but unfortunately without success. I created project with "lein new app my-app". Before this, I had tried to connect with some another project that I had created with Luminus template and it was successfully. But when I made this simple app with "lein new app my-app" I cant connect. I got the following error:

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ANSWER

Answered 2019-Apr-13 at 05:05

Hmmm. The problem here is, LT doesn't support a Clojure project running Clojure >1.8.0. Yes, LT needs to update to support new Clojure/Script versions. There are WIP patches to help make this possible. For now, sadly, you'll have to drop down to older releases of Clojure.

Source https://stackoverflow.com/questions/55643598

QUESTION

spacy create new language model with data from corpus

Asked 2018-May-07 at 13:07

I am trying to create a new language model (Luxembourgish) in spaCy, but I am confused on how to do this.

I followed the instructions on their website and did a similar thing as in this post. But what I do not understand is, how to add data like a vocab or wordvectors. (e.g. "fill" the language template)

I get that there are some dev tools for same of these operations, but their execution is poorly documented so I do not get how to install and use them properly, especially as they seem to be in python 2.7 which clashes with my spacy installation as it uses python 3.

As for now I have a corpus.txt (from a wikipediadump) on which I want to train and a language template with the defaults like stop_words.py, tokenizer_exceptions.py etc. that I created and filled by hand.

Anyone ever done this properly and could help me here?

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ANSWER

Answered 2018-May-07 at 13:07

There are three main components of a "language model" in spaCy: the "static" language-specific data shipped in Python (tokenizer exceptions, stop words, rules for mapping fine-grained to coarse-grained part-of-speech tags), the statistical model trained to predict part-of-speech tags, dependencies and named entities (trained on a large labelled corpus and included as binary weights) and optional word vectors that can be converted and added before or after training. You can also train your own vectors on your raw text using a library like Gensim and then add them to spaCy.

spaCy v2.x allows you to train all pipeline components independently or in on go, so you can train the tagger, parser and entity recognizer on your data. All of this requires labelled data. If you're training a new language from scratch, you normally use an existing treebank. Here's an example of the Universal Dependencies corpus for Spanish (which is also the one that was used to train spaCy's Spanish model). You can then convert the data to spaCy's JSON format and use the spacy train command to train a model. For example:

Source https://stackoverflow.com/questions/50152856

QUESTION

Install bash on Alpine/Docker using qemu for ARM host

Asked 2017-Apr-03 at 07:13

I am trying to create, at buildtime on an x86 host, a docker container , for runtime on an ARM host. To do this you need to use qemu for cross compilation. I also want to use alpine linux since the image size is so small.

However I am encountering an unusual error that only happens at build time - a problem installing bash.

My understanding is when running apk -U add bash, apk updates the package list from the repositories and then installs the latest version of the package requested. In then runs post-install scripts. It seems these post install scripts fail. However, when I built the image without bash and then ran interactively the container on the ARM host, and did apk fix && apk -U add bash it did the trick. Doing this command at build time fails however.

How can I add bash at buildtime?

Dockerfile

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ANSWER

Answered 2017-Apr-03 at 07:13

It turns out FROM armhf/alpine:3.5 is not good and FROM resin/armhf-alpine:3.5 will do the trick! I'd love to be able to see the commants from scratch that resulted in the armhf image being borked, but for now, this works!

Source https://stackoverflow.com/questions/43164912

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

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Install dev-resources

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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