https://github.com/speediedan/deep_classiflie
Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model deems most likely to be labeled falsehoods, the @DeepClassiflie twitter bot tweets out a statement analysis and model interpretation "report"
https://github.com/speediedan/deep_classiflie
albert bokeh captum data-engineering database deep-learning disinformation fact-checking interpretability machine-learning machine-learning-analysis machine-learning-research ml ml-framework nlp pytorch research-project transformer-architecture twitter-bot umap
Last synced: 2 months ago
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Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model deems most likely to be labeled falsehoods, the @DeepClassiflie twitter bot tweets out a statement analysis and model interpretation "report"
- Host: GitHub
- URL: https://github.com/speediedan/deep_classiflie
- Owner: speediedan
- Created: 2020-04-11T19:01:17.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2023-08-22T19:13:46.000Z (almost 2 years ago)
- Last Synced: 2023-08-22T23:08:38.659Z (almost 2 years ago)
- Topics: albert, bokeh, captum, data-engineering, database, deep-learning, disinformation, fact-checking, interpretability, machine-learning, machine-learning-analysis, machine-learning-research, ml, ml-framework, nlp, pytorch, research-project, transformer-architecture, twitter-bot, umap
- Language: Python
- Homepage: https://deepclassiflie.org
- Size: 204 MB
- Stars: 3
- Watchers: 5
- Forks: 0
- Open Issues: 18
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Metadata Files:
- Readme: README.md