SBERT-for-Question-Answering-on-COVID-19-Dataset VS EfficientWord-Net

Compare SBERT-for-Question-Answering-on-COVID-19-Dataset vs EfficientWord-Net and see what are their differences.

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SBERT-for-Question-Answering-on-COVID-19-Dataset EfficientWord-Net
1 2
3 206
- 1.5%
0.0 1.8
about 3 years ago about 1 month ago
Jupyter Notebook Jupyter Notebook
- Apache License 2.0
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.

SBERT-for-Question-Answering-on-COVID-19-Dataset

Posts with mentions or reviews of SBERT-for-Question-Answering-on-COVID-19-Dataset. We have used some of these posts to build our list of alternatives and similar projects.

EfficientWord-Net

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

What are some alternatives?

When comparing SBERT-for-Question-Answering-on-COVID-19-Dataset and EfficientWord-Net you can also consider the following projects:

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saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

NYU-DLSP20 - NYU Deep Learning Spring 2020

Hands-On-Meta-Learning-With-Python - Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

PySyft - Perform data science on data that remains in someone else's server

fastai - The fastai deep learning library