1 dépôt
Awesome GitHub RepositoriesBrowser-Based Model Libraries
Collections of pre-trained machine learning models optimized for execution in web browsers.
Distinct from TensorFlow Model Development: Existing candidates focus on model development or specific conversion formats, not the provision of ready-to-use browser libraries.
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Awesome Browser-Based Model Libraries GitHub Repositories
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- tensorflow/tfjs-models
tensorflow/tfjs-models
14,791Voir sur GitHubThis project is a collection of pre-trained machine learning models and conversion pipelines designed for running inference directly in the browser using TensorFlow.js. It provides a library of ready-to-use models for computer vision, audio classification, and natural language processing tasks. The suite includes specialized tools for transforming Python-based Keras models into JSON formats compatible with web environments. It enables the deployment of these models by fetching architectures and weight shards via HTTP for client-side execution. The project covers a broad range of capabilities
Provides a comprehensive library of ready-to-use machine learning models for direct browser-side inference.
TypeScript
