1 repo
Awesome GitHub RepositoriesZero-Shot Classification Models
Models capable of categorizing data into classes not seen during the training phase using semantic descriptions.
Distinguishing note: Focuses on inference-time classification without task-specific fine-tuning.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Zero-Shot Classification Models. Refine with filters or upvote what's useful.
Awesome Zero-Shot Classification Models GitHub Repositories
Find the best repos with AI.We'll search the best matching repositories with AI.
- openai/CLIP
openai/CLIP
32,614View on GitHubCLIP is a neural network architecture designed to map visual and textual data into a shared latent vector space. By utilizing transformer-based feature extraction and multi-modal tokenization, the system aligns images and natural language strings, enabling cross-modal similarity analysis and semantic classification. The project functions as a zero-shot classification engine, identifying image content by calculating the cosine similarity between visual features and arbitrary text labels without requiring task-specific retraining. Beyond inference, it serves as a research toolkit for evaluating
Identifying the content of images by comparing them against arbitrary text descriptions without needing to train custom models for specific categories.
Jupyter Notebookdeep-learningmachine-learning
