S2V | ICLR 2018 Quick-Thought vectors

by lajanugen Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | S2V Summary

S2V is a Python library. S2V has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However S2V build file is not available. You can download it from GitHub.

ICLR 2018 Quick-Thought vectors

Support

Quality

Security

License

Reuse

Support

S2V has a low active ecosystem.

It has 194 star(s) with 66 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 2 have been closed. On average issues are closed in 33 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of S2V is current.

Quality

S2V has 0 bugs and 0 code smells.

Security

S2V has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

S2V code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

S2V is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

S2V releases are not available. You will need to build from source code and install.

S2V has no build file. You will be need to create the build yourself to build the component from source.

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

S2V saves you 388 person hours of effort in developing the same functionality from scratch.

It has 924 lines of code, 49 functions and 13 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed S2V and discovered the below as its top functions. This is intended to give you an instant insight into S2V implemented functionality, and help decide if they suit your requirements.

Encodes the input data
Pads sequence to target length
Batch a sequence of sequences
Batch and pad embeddings
Processes the input file
Create a tf train Feature
Convert a sentence to ids
Create a serialized example
Loads a model
Builds the encoder
Build the encoder
Build the graph from the given config
Builds a graph from a proto file
Creates a restore function that restores the given checkpoint
Write a dataset to disk
Write a single shard to a file
Create a HParams object from the given model configuration
Generate a configuration dictionary
Build the graph
Builds the loss
Builds a vocabulary from input files
Computes embeddings for the given vocabulary
Load the sklearn embedding matrix
Loads a vocabulary from a file
Close all open sessions

Get all kandi verified functions for this library.

S2V Key Features

No Key Features are available at this moment for S2V.

S2V Examples and Code Snippets

No Code Snippets are available at this moment for S2V.

Community Discussions

Trending Discussions on S2V

Uncomprehensive Android Studio - Device emulator-5554 is offline. error - Showing only black screen

Laravel Livewire javascript code after model is load

PyTorch RuntimeError: CUDA out of memory. Tried to allocate 14.12 GiB

Loading a keras model into tfjs causes input shape mismatch

Spark write dataframe to vertica giving error

QUESTION

Uncomprehensive Android Studio - Device emulator-5554 is offline. error - Showing only black screen

Asked 2021-Feb-23 at 14:18

After many attempts, and trying many solutions that I could find on stackoverflow or elsewhere on the internet, I was still not able to run the emulator on my computer. This is happening with this computer on both Windows and Linux boots. I am able to start the emulator but then it remains with a full black screen. Here are some information regarding the software: Linux Ubuntu 20.04LTS and Android-studio version I am working with: 4.1.2. About my hardware:

...

ANSWER

Answered 2021-Feb-23 at 14:18

I finally found the solution. Because I am using an old AMV processor, I needed to use an ARM based image for the emulator and not a x86 image. I was then able to run it. Unfortunately my processor was not powerful enough and was lagging as hell when launching the android emulator. Had to buy a new computer.

Source https://stackoverflow.com/questions/65877288

QUESTION

Laravel Livewire javascript code after model is load

Asked 2021-Feb-05 at 18:28

I have one Laravel Livewire model open as bellow code

...

ANSWER

Answered 2021-Feb-04 at 16:39

You can trigger a browser event from the livewire component and listen for that event and change the select2 value accordingly (assuming the select2 part is wire:ignored).

Source https://stackoverflow.com/questions/66044540

QUESTION

PyTorch RuntimeError: CUDA out of memory. Tried to allocate 14.12 GiB

Asked 2020-Jul-21 at 08:57

I have faced Cuda out of memory error for a simple fully connected layer model. I have tried torch.cuda.empty_cache() and gc.collect(). Also, I delete unnecessary variables by del and tried by reducing batch size. But the error does not resolved. Also, the error appears only for SUN datasets where 1440 test images are used to evaluate. But the code runs well for AWA2 datasets where no. of test images is 7913. I am using google colab here. I have used RTX 2060 too. Here is the code snippet, where it gets error:

...

ANSWER

Answered 2020-Jul-21 at 08:57

It seems like you have batches defined only for training, while during test you attempt to process the entire test set simultaneously.
You should split your test set into smaller "batches" and evaluate one batch at a time to combine all the batch scores at the end for one score for the model.

Source https://stackoverflow.com/questions/63010568

QUESTION

Loading a keras model into tfjs causes input shape mismatch

Asked 2020-Jun-23 at 16:08

I made a model in Keras and saved it as a tfjs model. I imported it to my js project successfully. I am, however, unable to use the model in my JS code because of an input shape error. Keras model:

...

ANSWER

Answered 2020-Jun-23 at 16:08

There are two fixes to this issue that I know of

add another pair of brackets to the tensor sv = tf.tensor([[s1v, s2v, s3v, s4v]])
specify the shape as a second parameter sv = tf.tensor([s1v, s2v, s3v, s4v], [1, 4])

Source https://stackoverflow.com/questions/62537207

QUESTION

Spark write dataframe to vertica giving error

Asked 2020-Apr-27 at 06:19

I tried to write dataframe to vertica using the following documentation :https://www.vertica.com/docs/9.2.x/HTML/Content/Authoring/SparkConnector/WritingtoVerticaUsingDefaultSource.htm?tocpath=Integrating%20with%20Apache%20Spark%7CSaving%20an%20Apache%20Spark%20DataFrame%20to%20a%20Vertica%20Table%7C_____1 provide by vertica and it worked. The dataframe gets written into the table after loading with the desired libraries.

Now when I tried to do the same exact code in Intellij or without writing the code from directly the spark shell, there are some errors with it :

The code is :

...

ANSWER

Answered 2020-Apr-27 at 06:19

The question is if it is working as expected from the spark shell why is it not working outside from it ?

The answer is your error message :

Source https://stackoverflow.com/questions/61447488

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

Vulnerabilities

No vulnerabilities reported

Install S2V

You can download it from GitHub.
You can use S2V 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 .

Find more information at: