2 dépôts
Awesome GitHub RepositoriesClient-Side Model Loading
Mechanisms for loading serialized model weights and architectures over network protocols for local execution.
Distinct from Pre-trained Model Application: Distinct from general pre-trained model application by focusing specifically on the HTTP fetching and loading mechanism in the browser.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Client-Side Model Loading. Refine with filters or upvote what's useful.
Awesome Client-Side Model Loading 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
Enables the deployment of models by fetching architectures and weight shards via HTTP for client-side execution.
TypeScript - infinitered/nsfwjs
infinitered/nsfwjs
8,908Voir sur GitHubNSFW detection on the client-side via TensorFlow.js
Loads a pre-trained neural network model from bundled definitions, hosted URLs, or local paths for classification.
TypeScriptcontent-managementjavascriptmachine-learning
