trax | Simple time tracker designed for ChatOps | Chat library

by EliotBerriot Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | trax Summary

trax is a Python library typically used in Messaging, Chat applications. trax has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However trax build file is not available. You can download it from GitHub.

Simple time tracker designed for ChatOps

Support

Quality

Security

License

Reuse

Support

trax has a low active ecosystem.

It has 36 star(s) with 3 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 8 open issues and 17 have been closed. On average issues are closed in 32 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of trax is current.

Quality

trax has 0 bugs and 0 code smells.

Security

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

trax code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

trax 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

trax releases are not available. You will need to build from source code and install.

trax has no build file. You will be need to create the build yourself to build the component from source.

trax saves you 1173 person hours of effort in developing the same functionality from scratch.

It has 2647 lines of code, 136 functions and 90 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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trax Key Features

No Key Features are available at this moment for trax.

trax Examples and Code Snippets

No Code Snippets are available at this moment for trax.

Community Discussions

Trending Discussions on trax

CNN Pytorch only batches of spatial targets supported error

Trouble retrieving elements and looping pages using next page button

module 'trax.supervised' has no attribute 'inputs'

Best way to create text to speech voice variant

TensorBoard with Trax

xsl:sort: sorting double digit by numeric value

How to skip orders having specific meta in admin bulk order action

AttentionQKV from Trax

Understanding introductory example on transformers in Trax

Getting Exception while calling WebDAV propFindMethod in java

QUESTION

CNN Pytorch only batches of spatial targets supported error

Asked 2021-May-10 at 16:39

So I've architected the following model which I will use to classify the MNIST Fashion data.

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ANSWER

Answered 2021-May-10 at 16:39

MNIST has 10 classes so your output should be of size [batch_size, 10]. Change the last linear layer to self.dense = nn.Linear(128,10). Then, since your label is of size [batch_size,1], you should use torch.nn.CrossEntropyLoss as the criterion.

Additionally, you need not include the last softmax layer during training, as the aforementioned loss function performs a softmax operation during computation. You can instead use softmax or argmax for inference only.

Source https://stackoverflow.com/questions/67466531

QUESTION

Trouble retrieving elements and looping pages using next page button

Asked 2021-May-03 at 16:48

Currently trying to retrieve data from this url.

https://ephisahs.microsoftcrmportals.com/disclaimer/restaurantinspections/edmonton-facilities/

I am trying to retrieve the following: Unit Name, Site Street 1, 2, Site Ciy, Province/State, Code, Facility Category, Completed. I have successfully done so but the code seems to appear in one line. For example:

...

ANSWER

Answered 2021-May-03 at 01:40

You should wait and locate not only the head elements, but their children as well.

Source https://stackoverflow.com/questions/67360009

QUESTION

module 'trax.supervised' has no attribute 'inputs'

Asked 2021-Mar-20 at 02:29

I am working on a project involving Google's TRAX package. I encountered the following error message while running a snippet of code on Jupyter notebook.

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ANSWER

Answered 2021-Mar-20 at 02:29

As per trax documentation The call must be trax.data rather than trax.Supervised trax.data.inputs.add_loss_weights(generator, id_to_mask=None)

https://trax-ml.readthedocs.io/en/latest/trax.data.html

Source https://stackoverflow.com/questions/66513954

QUESTION

Best way to create text to speech voice variant

Asked 2021-Mar-01 at 08:02

I need a minimum of 3/4 different tts voice but unfortunatenly I have only one voice.

This because I have only one Italian neural voice (Diego) and the others are all standard voice and the quality is much worse.

The final objective is create a voice over for 3/4 persons minimum and I can't use the some exact voice.

For this reason, I like to create some variant started by the only one neural voice that I have, that gives the impression of a voice of other people all of this without seem unnatural.

Actually I have Adobe Audition, Audacity , Ircam Trax, ffmpeg and apart this I can use SSML with API (in this case microsoft Azure).

I don't known what are the effects and in what measure use it without damage the voices.

In short I ask what is the best way to do using the software that I have or other if I will get better results.

Thanks !

...

ANSWER

Answered 2021-Mar-01 at 04:09

what language are you using? If you are using English, I am sure you can find more than 3-4 neural voices. There are en-US, en-GB, en-CA, en-AU neural voices and all sound natural.

You can also tune the pitch using SSML to make the voice sound different.

If you would like to create different voices, try customvoice.ai with your speech data (or your voice talents).

or, what are the particular 'variances' you are looking for?

Source https://stackoverflow.com/questions/66406761

QUESTION

TensorBoard with Trax

Asked 2021-Feb-27 at 15:59

Anyone managed to log the loss with TensorBoard? I am using the trax ml library. I am getting this error TypeError: 'SummaryWriter' object is not callable.

I am using the SummaryWriter from jaxboard and then adding it to callbacks within training.Loop.

...

ANSWER

Answered 2021-Feb-27 at 15:59

Worked when I removed the line with callbacks, summary_writer and instead added this on google colab:

Source https://stackoverflow.com/questions/66364569

QUESTION

xsl:sort: sorting double digit by numeric value

Asked 2021-Jan-29 at 09:02

UPDATE : example and add some information.

I have to sort out the number below in numerical order in XSLT 1.0. The "code" follow the pattern below :

for example,

...

ANSWER

Answered 2021-Jan-22 at 15:54

To do this in pure XSLT 1.0, you will need to do it the pedestrian way:

Source https://stackoverflow.com/questions/65842147

QUESTION

How to skip orders having specific meta in admin bulk order action

Asked 2021-Jan-03 at 09:16

I am creating Bulk upload shipments in woocommerce. I created a order status name trax-booked and in order admin we can bulk select the order to submit shipments in courier platform.

This is my code to get the orders data:

...

ANSWER

Answered 2021-Jan-03 at 09:16

There are some mistakes in your code… To skip orders that have _dvs_courier_check as meta data, try the following:

Source https://stackoverflow.com/questions/65543695

QUESTION

AttentionQKV from Trax

Asked 2020-Sep-30 at 08:19

The AttentionQKV layer implemented by Trax is as the following: AttentionQKV

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ANSWER

Answered 2020-Sep-30 at 08:19

This code snippet is an implementation of the equation on the top of page 5 of the Attention is all you need paper that introduced the Transformer models in 2017. The computation is illustrated in Figure 2 of the paper:

The hidden states get projection into h attention heads which do the scaled dot-product attention in parallel. The projection can be interpreted as extraction of information that is relevant for the head. Each head then does the probabilistic retrieval based on different (learned) criteria.

Source https://stackoverflow.com/questions/64129393

QUESTION

Understanding introductory example on transformers in Trax

Asked 2020-Aug-27 at 22:20

I am new to Machine Translation and Trax. My goal is to understand the introductory example on transformers in Trax, which can be found at https://trax-ml.readthedocs.io/en/latest/notebooks/trax_intro.html:

...

ANSWER

Answered 2020-Aug-20 at 11:05

I found it out myself... one needs to reset the model's state. So the following code works for me:

Source https://stackoverflow.com/questions/63491509

QUESTION

Getting Exception while calling WebDAV propFindMethod in java

Asked 2020-Jul-06 at 09:14

Getting below Exception::

...

ANSWER

Answered 2020-Jul-04 at 12:29

What version of Jackrabbit?

Looking at the source I see that the exception is actually caught and logged, and the system should proceed.

See https://github.com/apache/jackrabbit/blob/trunk/jackrabbit-webdav/src/main/java/org/apache/jackrabbit/webdav/xml/DavDocumentBuilderFactory.java#L43

Are you really getting an exception in the code?

Source https://stackoverflow.com/questions/62715163

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

Vulnerabilities

No vulnerabilities reported

Install trax

You can download it from GitHub.
You can use trax like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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