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GitHub topics: no-fine-tuning

a-tokyo/ai-zero-shot-classifier

🧠 leverage advanced AI embeddings to perform multilingual zero-shot text classification. Whether you're dealing with unlabelled data or seeking to classify text against dynamic and user-defined labels, this library provides a seamless and efficient solution.

Language: TypeScript - Size: 1.25 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 0

alessioborgi/Z-SAMB_StyleAligned_MultiReference-MultiModal

Novel framework for Zero-Shot Style Alignment in Text-to-Image generation, incorporating Multi-Modal Context-Awareness and Multi-Reference Style Alignment, using minimal attention sharing, ensuring consistent style transfer without fine-tuning.

Language: Jupyter Notebook - Size: 1.49 GB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

Related Keywords
no-fine-tuning 2 zero-shot-learning 1 whisper 1 text-to-image-generation 1 style-aligned 1 shared-attention-heads 1 multi-style-transfer 1 multi-modal 1 context-awareness 1 clap 1 blip 1 adain 1 zero-shot 1 vue 1 vector-similarity 1 react-native 1 react 1 openai 1 ollama 1 nodejs 1 nlp 1 multilingual 1 machine-learning 1 llm 1 llama 1 groq 1 deep-learning 1 classifier 1 artificial-intelligence 1 ai 1