Visual-Question-Answering | Visual Question Answering system | Natural Language Processing library
kandi X-RAY | Visual-Question-Answering Summary
kandi X-RAY | Visual-Question-Answering Summary
Visual-Question-Answering is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Tensorflow, Keras, Bert applications. Visual-Question-Answering has no bugs, it has no vulnerabilities and it has low support. However Visual-Question-Answering build file is not available. You can download it from GitHub.
Various implementations of Visual Question Answering problem in keras. Current implementation only supports yes/no type questions. Currrently following models are implemented:.
Various implementations of Visual Question Answering problem in keras. Current implementation only supports yes/no type questions. Currrently following models are implemented:.
Support
Quality
Security
License
Reuse
Support
Visual-Question-Answering has a low active ecosystem.
It has 10 star(s) with 1 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
Visual-Question-Answering has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Visual-Question-Answering is current.
Quality
Visual-Question-Answering has no bugs reported.
Security
Visual-Question-Answering has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Visual-Question-Answering does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Visual-Question-Answering releases are not available. You will need to build from source code and install.
Visual-Question-Answering has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed Visual-Question-Answering and discovered the below as its top functions. This is intended to give you an instant insight into Visual-Question-Answering implemented functionality, and help decide if they suit your requirements.
- VQA model
- Parse the QA
- Construct the QA model
- Preprocess input input
- Load embeddings
- Generate vocabulary
- Get the features of the given image
- Encodes text into vocabulary
- Encode ans
- Remove characters from text
- Get the size of the vocab
- VGG16
- Construct a QA model
- Generate vocabulary
Get all kandi verified functions for this library.
Visual-Question-Answering Key Features
No Key Features are available at this moment for Visual-Question-Answering.
Visual-Question-Answering Examples and Code Snippets
No Code Snippets are available at this moment for Visual-Question-Answering.
Community Discussions
Trending Discussions on Visual-Question-Answering
QUESTION
TypeError: unhashable type: 'list' while loading pre-trained ResNet in Tensorflow?
Asked 2019-Jan-14 at 19:01
I am trying to load a Tensorflow checkpoint using Slim API. What I do is simply creating the initializer for the model inside a function as follows:
...ANSWER
Answered 2019-Jan-14 at 19:01A typo ?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Visual-Question-Answering
You can download it from GitHub.
You can use Visual-Question-Answering 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.
You can use Visual-Question-Answering 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:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
