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Visual Features Across Modalities: SVG and ASCII Art Cross-Modal Understanding
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Top AI models fail spectacularly when faced with slightly altered medical questions
Researchers fed 7.9 million speeches into AI—and what they found upends our understanding of language
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transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
presidio
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
FunASR
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.