MMSA | unified framework for Multimodal Sentiment Analysis | Natural Language Processing library

by thuiar Python Version: 2.2.1 License: MIT

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

kandi X-RAY | MMSA Summary

MMSA is a Python library typically used in Artificial Intelligence, Natural Language Processing, Bert applications. MMSA has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However MMSA build file is not available. You can install using 'pip install MMSA' or download it from GitHub, PyPI.

A unified framwork for Multimodal Sentiment Analysis tasks. Note: We strongly recommend browsing the overall structure of our code first. Feel free to contact us if you require any further information.

Support

Quality

Security

License

Reuse

Support

MMSA has a low active ecosystem.

It has 330 star(s) with 68 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 15 open issues and 40 have been closed. On average issues are closed in 35 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MMSA is 2.2.1

Quality

MMSA has no bugs reported.

Security

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

License

MMSA 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

MMSA releases are available to install and integrate.

Deployable package is available in PyPI.

MMSA 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.

Top functions reviewed by kandi - BETA

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

Perform training
Backward computation
Evaluate the model
Calculate the weighted loss
Train the model
Gets the command loss between two shared states
Compute the domain loss
Calculates the difference between the difference between the difference of the difference between two states
Perform forward computation
Layer norm
Generate a buffered mask for a tensor
Compute the embedding
Create an embedding matrix
Make positions for a tensor
Compute the scms between two vectors
Calculate the match norm
Forward the query
Linear interpolation
Train the optimizer
Evaluate the given model
Calculate alignment
Train a single model
Forward pass through a visualizer
Parse command line arguments
Train a model
Run train method

Get all kandi verified functions for this library.

MMSA Key Features

No Key Features are available at this moment for MMSA.

MMSA Examples and Code Snippets

No Code Snippets are available at this moment for MMSA.

Community Discussions

Trending Discussions on MMSA

Create two dataframes using Pandas from a text file Python

How to cast to unsigned vector type after using __builtin_msa_ld_*

screen manager (AttributeError: 'super' object has no attribute '__getattr__')

QUESTION

Create two dataframes using Pandas from a text file Python

Asked 2021-Jan-12 at 19:06

I need to create two dataframes to operate my data and I have thinked about doing it with pandas.

This is the provided data:

...

ANSWER

Answered 2021-Jan-12 at 18:47

I make a file with your text. and here's the code. you can repeat it for df_func. enjoy.

Source https://stackoverflow.com/questions/65689949

QUESTION

How to cast to unsigned vector type after using __builtin_msa_ld_*

Asked 2018-Oct-21 at 18:25

I'm evaluating MIPS SIMD Architecture (MSA) programming using the Codescape GCC Toolchain. There's not much information out there about MSA and builtins. (As far as I can tell there's only two MSA cpu's, the P5600 and Warrior I6400, and they first became available several years ago).

My test program is below.

...

ANSWER

Answered 2018-Oct-21 at 08:16

Either you use casts and -flax-vector-conversions, or use an union type to represent the vector registers and explicitly work on that union type. GCC explicitly supports that form of type-punning.

For example, you could declare an msa128 type,

Source https://stackoverflow.com/questions/52912511

QUESTION

screen manager (AttributeError: 'super' object has no attribute '__getattr__')

Asked 2018-Mar-21 at 01:58

I am fairly new to Kivy programming and need to use it for this project. The problem I am having is that I keep getting the following error whenever I try to use a screen manager to change screens.

AttributeError: 'super' object has no attribute 'getattr'

If anybody could explain how to fix the error, but also explain what causes it? Any help is greatly appriciated

Main Code: `

...

ANSWER

Answered 2018-Mar-21 at 01:27

The error message is accurate:

Source https://stackoverflow.com/questions/49396155

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

Vulnerabilities

No vulnerabilities reported

Install MMSA

You can install using 'pip install MMSA' or download it from GitHub, PyPI.
You can use MMSA 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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