fake-news VS TabularSemanticParsing

Compare fake-news vs TabularSemanticParsing and see what are their differences.

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fake-news TabularSemanticParsing
1 1
130 214
- 0.5%
4.1 0.0
over 3 years ago 11 months ago
Jupyter Notebook Jupyter Notebook
GNU Affero General Public License v3.0 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.

fake-news

Posts with mentions or reviews of fake-news. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-06.

TabularSemanticParsing

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

What are some alternatives?

When comparing fake-news and TabularSemanticParsing you can also consider the following projects:

onepanel - The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

ecco - Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

mt5-M2M-comparison - Comparing M2M and mT5 on a rare language pairs, blog post: https://medium.com/@abdessalemboukil/comparing-facebooks-m2m-to-mt5-in-low-resources-translation-english-yoruba-ef56624d2b75

ml-course - Open Machine Learning course

fastMONAI - Simplifying deep learning for medical imaging

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

mlf-core - CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

bert-sklearn - a sklearn wrapper for Google's BERT model

adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

peacasso - UI interface for experimenting with multimodal (text, image) models (stable diffusion).