1 dépôt
Awesome GitHub RepositoriesFlatBuffer Model Interpreters
Runtimes that parse compact binary FlatBuffer formats for efficient model execution.
Distinct from Model Interpretability: Candidates are for model interpretability (explaining predictions), not technical model interpretation (parsing binary formats).
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Awesome FlatBuffer Model Interpreters GitHub Repositories
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- tensorflow/tfjs-core
tensorflow/tfjs-core
8,437Voir sur GitHubTensorFlow.js is a JavaScript machine learning library and browser-based runtime used to build, train, and execute models. It functions as a WebGL accelerated tensor engine, providing a foundation for high-performance linear algebra operations and an automatic differentiation framework for computing gradients. The project distinguishes itself through its ability to run machine learning directly in web environments, supporting both client-side inference and browser-based training. It enables the deployment of Python-based models by converting Keras or TensorFlow models into compatible formats
Includes native support for TFLite models via FlatBuffers for efficient inference without a full framework.
TypeScriptdeep-learningdeep-neural-networksgpu-acceleration
