CAIN VS text

Compare CAIN vs text and see what are their differences.

CAIN

Source code for AAAI 2020 paper "Channel Attention Is All You Need for Video Frame Interpolation" (by myungsub)

text

Models, data loaders and abstractions for language processing, powered by PyTorch (by pytorch)
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CAIN text
1 2
309 3,447
- 0.5%
0.0 7.1
12 months ago 4 days ago
Python Python
MIT License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

CAIN

Posts with mentions or reviews of CAIN. We have used some of these posts to build our list of alternatives and similar projects.

text

Posts with mentions or reviews of text. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-04.

What are some alternatives?

When comparing CAIN and text you can also consider the following projects:

XVFI - [ICCV 2021, Oral 3%] Official repository of XVFI

SFDX-Data-Move-Utility - SFDMU is a cutting-edge Salesforce data migration tool for seamless org population from other orgs or CSV files. It handles all CRUD operations on multiple related objects in one go.

LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

Chart2Text - Chart-to-Text: Generating Natural Language Explanations for Charts by Adapting the Transformer Model

sru - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

tape - Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Words Counted - A Ruby natural language processor.

jina - ☁️ Build multimodal AI applications with cloud-native stack

Treat - Natural language processing framework for Ruby.

pocketsphinx-ruby - Ruby speech recognition with Pocketsphinx